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Terraform Job Salaries

Find salary information for remote positions requiring Terraform skills. Make data-driven decisions about your career path.

Terraform

Median high-range salary for jobs requiring Terraform:

$195,000

This analysis is based on salary ranges collected from 215 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $152,500 - $195,000

  • 25% of job descriptions advertised a maximum salary above $230,775.
  • 5% of job descriptions advertised a maximum salary above $277,250.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Cloud Computing, Microservices and AWS. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. Cloud Computing

    40% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $156,250 - $200,000

    • 25% of job descriptions advertised a maximum salary above $240,000.
    • 5% of job descriptions advertised a maximum salary above $310,000.

  2. Microservices

    29% jobs mention Microservices as a required skill. The Median Salary Range for these jobs is $160,000 - $200,000

    • 25% of job descriptions advertised a maximum salary above $238,750.
    • 5% of job descriptions advertised a maximum salary above $287,250.

  3. AWS

    77% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $152,000 - $197,100

    • 25% of job descriptions advertised a maximum salary above $230,100.
    • 5% of job descriptions advertised a maximum salary above $275,000.

  4. Kubernetes

    70% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $150,000 - $195,000

    • 25% of job descriptions advertised a maximum salary above $232,000.
    • 5% of job descriptions advertised a maximum salary above $277,850.

  5. Docker

    43% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $152,500 - $195,000

    • 25% of job descriptions advertised a maximum salary above $234,250.
    • 5% of job descriptions advertised a maximum salary above $275,000.

  6. DevOps

    39% jobs mention DevOps as a required skill. The Median Salary Range for these jobs is $150,000 - $190,250

    • 25% of job descriptions advertised a maximum salary above $224,000.
    • 5% of job descriptions advertised a maximum salary above $256,510.

  7. CI/CD

    63% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $152,000 - $185,500

    • 25% of job descriptions advertised a maximum salary above $219,750.
    • 5% of job descriptions advertised a maximum salary above $275,000.

  8. Python

    56% jobs mention Python as a required skill. The Median Salary Range for these jobs is $152,000 - $185,000

    • 25% of job descriptions advertised a maximum salary above $225,350.
    • 5% of job descriptions advertised a maximum salary above $281,075.

  9. Linux

    36% jobs mention Linux as a required skill. The Median Salary Range for these jobs is $147,000 - $184,000

    • 25% of job descriptions advertised a maximum salary above $222,250.
    • 5% of job descriptions advertised a maximum salary above $269,750.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Blockchain intelligence and financial services, AI observability and evaluation and Fintech. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. Blockchain intelligence and financial services

    1% jobs are in Blockchain intelligence and financial services industry. The Median Salary Range for these jobs is $220,000 - $262,500

    • 25% of job descriptions advertised a maximum salary above $270,000.

  2. AI observability and evaluation

    1% jobs are in AI observability and evaluation industry. The Median Salary Range for these jobs is $152,500 - $237,500

    • 25% of job descriptions advertised a maximum salary above $250,000.

  3. Fintech

    5% jobs are in Fintech industry. The Median Salary Range for these jobs is $164,050 - $212,750

    • 25% of job descriptions advertised a maximum salary above $237,000.
    • 5% of job descriptions advertised a maximum salary above $256,300.

  4. Software Development

    37% jobs are in Software Development industry. The Median Salary Range for these jobs is $155,000 - $202,000

    • 25% of job descriptions advertised a maximum salary above $243,750.
    • 5% of job descriptions advertised a maximum salary above $286,694.

  5. Healthcare

    2% jobs are in Healthcare industry. The Median Salary Range for these jobs is $137,500 - $192,500

    • 25% of job descriptions advertised a maximum salary above $226,500.
    • 5% of job descriptions advertised a maximum salary above $253,000.

  6. Financial Services

    2% jobs are in Financial Services industry. The Median Salary Range for these jobs is $134,400 - $185,850

    • 25% of job descriptions advertised a maximum salary above $230,850.
    • 5% of job descriptions advertised a maximum salary above $234,000.

  7. Artificial Intelligence

    2% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $125,000 - $185,000

    • 25% of job descriptions advertised a maximum salary above $215,750.
    • 5% of job descriptions advertised a maximum salary above $278,000.

  8. Software Delivery

    1% jobs are in Software Delivery industry. The Median Salary Range for these jobs is $170,000 - $185,000

    • 25% of job descriptions advertised a maximum salary above $209,750.
    • 5% of job descriptions advertised a maximum salary above $218,000.

  9. Cybersecurity

    3% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $110,000 - $175,000

    • 25% of job descriptions advertised a maximum salary above $178,750.
    • 5% of job descriptions advertised a maximum salary above $265,600.

  10. Insurance

    1% jobs are in Insurance industry. The Median Salary Range for these jobs is $140,000 - $170,000

    • 25% of job descriptions advertised a maximum salary above $305,000.
    • 5% of job descriptions advertised a maximum salary above $350,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Data Engineer
Posted 1 day ago

📍 United States

💸 112800.0 - 126900.0 USD per year

🔍 Software Development

🏢 Company: Titan Cloud

  • 4+ years of work experience with ETL, Data Modeling, Data Analysis, and Data Architecture.
  • Experience operating very large data warehouses or data lakes.
  • Experience with building data pipelines and applications to stream and process datasets at low latencies.
  • MySQL, MSSQL Database, Postgres, Python
  • Design, implement, and maintain standardized data models that align with business needs and analytical use cases.
  • Optimize data structures and schemas for efficient querying, scalability, and performance across various storage and compute platforms.
  • Provide guidance and best practices for data storage, partitioning, indexing, and query optimization.
  • Developing and maintaining a data pipeline design.
  • Build robust and scalable ETL/ELT data pipelines to transform raw data into structured datasets optimized for analysis.
  • Collaborate with data scientists to streamline feature engineering and improve the accessibility of high-value data assets.
  • Designing, building, and maintaining the data architecture needed to support business decisions and data-driven applications. This includes collecting, storing, processing, and analyzing large amounts of data using AWS, Azure, and local tools and services.
  • Develop and enforce data governance standards to ensure consistency, accuracy, and reliability of data across the organization.
  • Ensure data quality, integrity, and completeness in all pipelines by implementing automated validation and monitoring mechanisms.
  • Implement data cataloging, metadata management, and lineage tracking to enhance data discoverability and usability.
  • Work with Engineering to manage and optimize data warehouse and data lake architectures, ensuring efficient storage and retrieval of structured and semi-structured data.
  • Evaluate and integrate emerging cloud-based data technologies to improve performance, scalability, and cost efficiency.
  • Assist with designing and implementing automated tools for collecting and transferring data from multiple source systems to the AWS and Azure cloud platform.
  • Work with DevOps Engineers to integrate any new code into existing pipelines
  • Collaborate with teams in trouble shooting functional and performance issues.
  • Must be a team player to be able to work in an agile environment

AWSPostgreSQLPythonSQLAgileApache AirflowCloud ComputingData AnalysisETLHadoopMySQLData engineeringData scienceREST APISparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingTerraformAttention to detailOrganizational skillsMicroservicesTeamworkData visualizationData modelingScripting

Posted 1 day ago
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🔥 Technical Enablement Coach (Technical Agile Coach)
Posted 1 day ago

📍 United States of America

💸 123500.0 - 184050.0 USD per year

🏢 Company: careers

  • Advanced scrum master skills; demonstrated ability to evaluate product owner objectives and scope for feasibility, understanding and planning to meet success criteria.
  • Ability to quickly adapt to changing circumstances and work under tight timelines; demonstrated ability to adjust to changing priorities and manage team dynamics in stressful conditions.
  • Advanced knowledge and experience with various software development methodologies; demonstrated ability to discern "fit for purpose" methods and apply rationale to produce desired project outcomes.
  • Advanced communication and change management skills; demonstrated ability to influence a wide range of audiences, from Individual contributors to senior leaders.
  • Ability to coach teams to reach their highest potential through formal training and informal conversations.
  • Ability to work with multiple scrum teams concurrently.
  • Partner with development teams to optimize CI/CD pipelines for faster, more reliable delivery cycles.
  • Provide hands-on coaching in test automation, test-driven development (TDD), pair programming, and code reviews to ensure high-quality outputs.
  • Introduce modern deployment strategies, including trunk-based development, feature toggles, and canary releases to reduce risk and increase flexibility.
  • Guide teams in implementing monitoring, logging, and observability to improve feedback loops and operational insight.
  • Identify bottlenecks in delivery pipelines and collaborate with teams to improve flow and reduce lead times.
  • Promote practices like shift-left testing and infrastructure-as-code to create faster more predictable delivery cycles.
  • Encourage adoption of DevOps principles to enable seamless collaboration between development and operations teams.
  • Facilitate workshops and training sessions to upskill teams on tools and techniques that support continuous delivery.

AWSDockerLeadershipAgileCypressGitJenkinsJUNITKubernetesNUnitSCRUMAzureGrafanaPrometheusSeleniumCommunication SkillsCI/CDDevOpsTerraformCoachingAnsibleChange Management

Posted 1 day ago
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🔥 Data Engineer II (Remote, US)
Posted 1 day ago

📍 United States

🧭 Full-Time

💸 108000.0 - 162000.0 USD per year

🔍 Insurance

🏢 Company: Openly👥 251-500💰 $100,000,000 Series D over 1 year agoLife InsuranceProperty InsuranceInsuranceCommercial InsuranceAuto Insurance

  • 1 to 2 years of data engineering and data management experience.
  • Scripting skills in one or more of the following: Python.
  • Basic understanding and usage of a development and deployment lifecycle, automated code deployments (CI/CD), code repositories, and code management.
  • Experience with Google Cloud data store and data orchestration technologies and concepts.
  • Hands-on experience and understanding of the entire data pipeline architecture: Data replication tools, staging data, data transformation, data movement, and cloud based data platforms.
  • Understanding of a modern next generation data warehouse platform, such as the Lakehouse and multi-data layered warehouse.
  • Proficiency with SQL optimization and development.
  • Ability to understand data architecture and modeling as it relates to business goals and objectives.
  • Ability to gain an understanding of data requirements, translate them into source to target data mappings, and build a working solution.
  • Experience with terraform preferred but not required.
  • Design, create, and maintain data solutions. This includes data pipelines and data structures.
  • Work with data users, data science, and business intelligence personnel, to create data solutions to be used in various projects.
  • Translating concepts to code to enhance our data management frameworks and services to strive towards providing a high quality data product to our data users.
  • Collaborate with our product, operations, and technology teams to develop and deploy new solutions related to data architecture and data pipelines to enable a best-in-class product for our data users.
  • Collaborating with teammates to derive design and solution decisions related to architecture, operations, deployment techniques, technologies, policies, processes, etc.
  • Participate in domain, stand ups, weekly 1:1's, team collaborations, and biweekly retros
  • Assist in educating others on different aspects of data (e.g. data management best practices, data pipelining best practices, SQL tuning)
  • Build and share your knowledge within the data engineer team and with others in the company (e.g. tech all-hands, tech learning hour, domain meetings, code sync meetings, etc.)

DockerPostgreSQLPythonSQLApache AirflowCloud ComputingETLGCPKafkaKubernetesData engineeringGoREST APICI/CDTerraformData modelingScriptingData management

Posted 1 day ago
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🔥 Security Operations Engineer
Posted 1 day ago

📍 United States, internationally

💸 155000.0 - 175000.0 USD per year

🔍 Cybersecurity

  • Minimum of 3 years of hands-on experience in a security operations or security engineering function within a modern, cloud and SaaS-heavy environment.
  • Proven experience with a broad range of security technologies.
  • Strong networking and systems knowledge, including a strong understanding of macOS, Windows, and Linux.
  • Advanced proficiency in SIEM platforms for incident detection, investigation, and response.
  • Proficiency in Python scripting and development for security automation is highly preferred.
  • Familiarity with cloud infrastructure engineering principles, particularly Infrastructure as Code, (Terraform experience is a big plus).
  • Experience with Cloud Native Application Protection Platforms (CNAPP) is a big plus.
  • Investigate alerts and events that may have security implications.
  • Respond to and coordinate cross-team efforts during potential security incidents.
  • Design and implement threat detection, response, and hunting activities.
  • Develop automation to reduce the likelihood of future incidents.
  • Evaluate, implement, and maintain modern cloud-native security tooling related to corporate and product infrastructure.
  • Implement, improve, and maintain code-driven detection and response capabilities of our SIEM platform.
  • Follow industry security trends, advisories, news, and general research, and advise stakeholders across the company on how to stay ahead of relevant security risks.
  • Conduct security reviews and provide approval for pull requests related to significant infrastructure changes.

AWSPythonCloud ComputingCybersecurityRESTful APIsLinuxDevOpsTerraformScripting

Posted 1 day ago
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🔥 Cloud Platform Architecture & Enablement Lead
Posted 1 day ago

📍 United States

💸 175000.0 - 200000.0 USD per year

🔍 Commercial Real Estate Technology

🏢 Company: jlltcareers

  • 8+ years of experience in 24x7 production operations for a SaaS or cloud service provider
  • Deep expertise in cloud technologies, particularly AWS or Azure IaaS and PaaS offerings
  • Extensive experience with cloud-native architectures, including container orchestration platforms like Kubernetes
  • Deployed and managed Infrastructure as Code (Terraform) for various cloud resources, including container platforms
  • System programming skills in Go, Python, PowerShell, Bash etc.
  • Familiar with CI/CD practices and tools (Git, Jenkins, Azure DevOps) and have implemented pipelines for cloud-native applications
  • Can diagnose and troubleshoot applications running in diverse cloud environments
  • Strong understanding of cloud networking concepts and implementation
  • Understand distributed, event-based messaging architectures (Azure Event Hub, Azure Service Bus, Kafka, etc.) and how they integrate with various cloud services
  • Experience with leading infrastructure and application monitoring tools (DataDog, Splunk) and their integration with cloud services, including but not limited to Kubernetes
  • Strong interpersonal and team skills - ability to implement processes and influence engineers who are not direct reports
  • Can operate in an agile, collaborative, entrepreneurial start-up environment
  • Build and maintain resilient, secure, and efficient cloud-based SaaS application platforms to meet established service levels
  • Architect and implement cloud solutions tailored to specific business vertical needs
  • Automate build, test, and deployment for distributed, fault-tolerant cloud infrastructure
  • Implement monitoring and incident response for distributed applications across various cloud services
  • Collaborate with developers to bring new features and services into production using cloud-native best practices
  • Utilize a combination of open-source and custom software to solve product challenges in cloud environments
  • Drive improvement to operational practices and procedures for cloud and container-based systems
  • Proactively meet standards for information security and compliance in cloud environments, such as ISO, SOX, SSAE 16, etc.
  • Exert considerable influence on the overall objectives and long-term goals of your team regarding cloud strategy
  • Shepherd the definition, documentation, and improvement of our internal standards for style, maintainability, and best practices for high-scale cloud environments
  • Represent JLLT Engineering and its values in public communication around broad cloud initiatives, specific projects, and community contributions
  • Drive innovation on the team with a willingness to experiment and to boldly confront complex cloud architecture problems
  • Actively seek out and address technical debt in our cloud infrastructure, proposing and implementing solutions to enhance team efficiency

AWSPythonBashCloud ComputingGitJenkinsKafkaKubernetesSoftware ArchitectureAzureGoCI/CDRESTful APIsDevOpsTerraformMicroservicesJSONSaaS

Posted 1 day ago
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🔥 Search & Reliability Engineer
Posted 1 day ago

📍 United States, Canada

💸 120000.0 - 140000.0 CAD per year

🔍 Software Development

🏢 Company: Creative Market👥 11-50💰 $7,000,000 Series A over 7 years agoMarketplaceE-Commerce PlatformsGraphic Design

  • Relevant search experience. You're experienced with search technologies, particularly Elasticsearch and relevancy algorithms.
  • Technical proficiency in Python. Flask is a plus!
  • Familiarity with our core search-related technologies or equivalent services. These include data lakes (we use Snowflake), CI pipelines (we use Semaphore), and data orchestrators (we use Dagster).
  • Demonstrated success working with containerized infrastructure (e.g. Docker).
  • The capability to apply your knowledge of AWS. This includes ECS for container orchestration, DMS pipelines for data migration, and kinesis for data streams.
  • Experience using infrastructure-as-code tools. We use Terraform.
  • A good understanding of Linux and relational databases (e.g. MySQL).
  • Owning and maintaining our search and ranking engine. This is built using Elasticsearch, Python, Flask, MySQL, and Terraform. It will be your job to ensure scalability, reliability, and efficiency while addressing bugs and performance bottlenecks.
  • Collaborating with our Product and Engineering teams to help with implementing new search features, such as filters or query handling improvements.
  • Identifying opportunities for incremental ranking and relevance improvements.
  • Supporting infrastructure initiatives, ensuring reliability, optimizing CI/CD, scaling services, and resolving deployment and infrastructure-related issues.
  • Participating in the on-call rotation, and responding to infrastructure and search-related incidents.

AWSDockerPostgreSQLPythonSQLAmazon RDSElasticSearchFlaskMySQLAlgorithmsAmazon Web ServicesData StructuresRedisCI/CDLinuxDevOpsTerraformScripting

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🔥 Software Development Engineer III, Cloud Platform
Posted 1 day ago

📍 United States, Canada

🧭 Full-Time

💸 183175.0 - 247825.0 USD per year

🔍 Software Development

🏢 Company: Mapbox

  • 8-10+ years of relative industry engineering experience.
  • Experience working in a large-scale, complex AWS multi-account architecture.
  • Passion for developing internal tools and infrastructure for Mapbox Engineers.
  • Proven ability to design and develop sophisticated, efficient, secure, and durable infrastructure on AWS.
  • Experience with our tech stack – NodeJS, TypeScript, Terraform, and AWS (EC2, ECS, Fargate, CDK, CloudFormation, CDN, IAM, Route53, DynamoDB).
  • Lead and deliver our company-wide retooling and migration to a multi-account AWS environment.
  • Support Mapbox Engineers by building reliable and scalable infrastructure and adaptable tooling that addresses their needs.
  • Broadly influence and lead the Mapbox Cloud Platform strategy including AWS architecture, best practices and Operational Excellence company wide.
  • Architect and maintain a comprehensive observability platform, such as Datadog or Observe, to enable real-time monitoring, alerting, and analytics across the company's entire cloud infrastructure.
  • Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, and being on-call to support the health of our services.
  • Design systems that “see around the corner” to enable the rapid growth of Mapbox.
  • Document your work and decision-making processes, and lead presentations and discussions in a way that is easy for others to understand.
  • Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions.

AWSBackend DevelopmentNode.jsSoftware DevelopmentAWS EKSCloud ComputingDynamoDBGitTypeScriptAPI testingCI/CDRESTful APIsLinuxDevOpsTerraformMicroservicesJSONSoftware Engineering

Posted 1 day ago
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🔥 Full Stack Engineer
Posted 1 day ago

📍 United States

🧭 Full-Time

💸 120000.0 - 200000.0 USD per year

🔍 Healthcare

🏢 Company: Rely Health

  • 3+ years of experience with full-stack development
  • Working experience with [ReactJS (Typescript), NodeJS, AWS, Terraform]
  • Working experience with building user-facing UIs
  • Knowledge about general application-level security.
  • Ability to work with healthcare data and RESTful APIs from varying partners
  • Familiar with relational and/or NoSQL database platforms (such as MongoDB, MySQL, Postgres, Redis, Elasticache, etc.)
  • Develop features and general updates to our technology suite, consisting of a no-code pathway builder, communication management CRM, and interoperability layer to ingest various data feeds.
  • Work on the ground with Patient Care Navigators to ideate and develop workflow / efficiency improvements.
  • Work on live partner implementations of digital workflows, requiring collaboration with customers in framing problems and designing solutions.

AWSNode.jsSoftware DevelopmentSQLFull Stack DevelopmentReact.jsTypeScriptNosqlCommunication SkillsCI/CDProblem SolvingRESTful APIsDevOpsTerraformMicroservicesData analytics

Posted 1 day ago
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🔥 Security Operations Engineer
Posted 1 day ago

📍 United States, Internationally

🧭 Full-Time

💸 155000.0 - 175000.0 USD per year

🔍 Cybersecurity

🏢 Company: Axonius👥 600-600💰 $200,000,000 Series E about 1 year agoAsset ManagementCloud SecurityInformation TechnologyCyber SecurityNetwork Security

  • Minimum of 3 years of hands-on experience in a security operations or security engineering function within a modern, cloud and SaaS-heavy environment.
  • Proven experience with a broad range of security technologies.
  • Strong networking and systems knowledge, including a strong understanding of macOS, Windows, and Linux.
  • Advanced proficiency in SIEM platforms for incident detection, investigation, and response.
  • Proficiency in Python scripting and development for security automation is highly preferred.
  • Familiarity with cloud infrastructure engineering principles, particularly Infrastructure as Code, (Terraform experience is a big plus).
  • Experience with Cloud Native Application Protection Platforms (CNAPP) is a big plus.
  • Investigate alerts and events that may have security implications.
  • Respond to and coordinate cross-team efforts during potential security incidents.
  • Design and implement threat detection, response, and hunting activities.
  • Develop automation to reduce the likelihood of future incidents.
  • Evaluate, implement, and maintain modern cloud-native security tooling related to corporate and product infrastructure.
  • Implement, improve, and maintain code-driven detection and response capabilities of our SIEM platform.
  • Follow industry security trends, advisories, news, and general research, and advise stakeholders across the company on how to stay ahead of relevant security risks.
  • Conduct security reviews and provide approval for pull requests related to significant infrastructure changes.

PythonCloud ComputingCybersecurityCI/CDRESTful APIsLinuxTerraformNetworkingJSONScripting

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🔥 Senior Software Engineer, Data
Posted 2 days ago

📍 United States, Australia, Canada, South America

🧭 Full-Time

💸 177000.0 - 213000.0 USD per year

🔍 FinTech

🏢 Company: Flex

  • A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
  • A minimum of 6 years of experience with Python and SQL.
  • A minimum of 3 years of industry experience using DBT.
  • A minimum of 3 years of industry experience using Snowflake and its basic features.
  • Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
  • Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
  • Industry experience working with relational and NoSQL databases in a production environment.
  • Strong fundamentals in data structures, algorithms, and design patterns.
  • Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
  • Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
  • Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
  • Create scalable real-time streaming pipelines and offline ETL pipelines.
  • Design, implement, and manage a data warehouse that provides secure access to large datasets.
  • Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Create engineering documentation for design, runbooks, and best practices.

AWSPythonSQLBashDesign PatternsETLHadoopJavaKafkaSnowflakeAirflowAlgorithmsCassandraData engineeringData StructuresNosqlSparkCommunication SkillsCI/CDRESTful APIsTerraformWritten communicationDocumentationData modelingDebugging

Posted 2 days ago
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