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🔥 Solutions Architect
Posted 2 days ago

📍 United States, Latin America, India

🔍 Data solutions and cloud data platforms

  • 10+ years of hands-on experience as a Solutions Architect and/or Data Engineer.
  • Team lead and mentorship experience.
  • Programming expertise in Java, Python, and/or Scala.
  • Experience with core cloud data platforms like Snowflake, Spark, AWS, Azure, Databricks, and GCP.
  • Proficient in SQL with the ability to write, debug, and optimize queries.
  • Strong client-facing written and verbal communication skills.
  • 4-year Bachelor's degree in Computer Science or a related field.
  • Design and implement end-to-end technical solutions into production.
  • Ensure performance, security, scalability, and robust data integration.
  • Lead and mentor other engineers.
  • Create and deliver detailed presentations and documentation.

AWSPythonSQLGCPHadoopJavaKafkaSnowflakeAirflowAzureSparkScala

Posted 2 days ago
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🔥 Data Engineer
Posted 3 days ago

📍 California

🧭 Full-Time

💸 145000.0 USD per year

🔍 Health Insurance

🏢 Company: Sidecar Health👥 101-250💰 $165,000,000 Series D 7 months ago🫂 Last layoff over 2 years agoHealth InsuranceInsurTechInsuranceHealth CareFinTech

  • Master’s degree or foreign degree equivalent in Computer Science or a related field.
  • 1+ years of experience in Data Engineer or Software Engineer roles.
  • Proficiency in SQL and Python, with the ability to write complex SQL statements.
  • Hands-on experience with ETL processes, real-time and batch data processing.
  • Familiarity with Spark, Athena, Docker, and version control systems like GIT.
  • Knowledge of secure, scalable, cloud-based architectures compliant with HIPAA or PCI.
  • Experience in creating data visualizations using Tableau or ThoughtSpot.
  • Ability to translate business requirements into scalable software solutions.
  • Use SQL and Python on AWS to build ETL jobs and data pipelines for data integration into Snowflake.
  • Leverage DBT to transform data, consolidate records, and create clean data models.
  • Utilize AWS technologies to send reports and support business teams.
  • Containerize and orchestrate data pipelines with Docker and Airflow.
  • Perform data quality checks and ensure data reliability.
  • Develop reports and dashboards using Tableau and ThoughtSpot.
  • Participate in agile development activities.

AWSDockerPythonSQLETLSnowflakeTableauAirflowSpark

Posted 3 days ago
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🔥 Staff Data Engineer
Posted 7 days ago

📍 United States

🧭 Full-Time

💸 170000.0 - 195000.0 USD per year

🔍 Healthcare

🏢 Company: Parachute Health👥 101-250💰 $1,000 about 5 years agoMedicalHealth CareSoftware

  • 5+ years of relevant experience.
  • Experience in Data Engineering with Python.
  • Experience building customer-facing software.
  • Strong listening and communication skills.
  • Time management and organizational skills.
  • Proactive, a driven self-starter who can work independently or as part of a team.
  • Ability to think with the 'big picture' in mind.
  • Passionate about improving patient outcomes in the healthcare space.
  • Architect solutions to integrate and manage large volumes of data across various internal and external systems.
  • Establish best practices and data governance standards to ensure that data infrastructure is built for long-term scalability.
  • Build and maintain a reporting product for external customers that visualizes data and provides tabular reports.
  • Collaborate across the organization to assess data engineering needs.

PythonETLAirflowData engineeringData visualization

Posted 7 days ago
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🔥 Mid to Senior Full Stack Software Developer (ROR & React) (WFH) - #34110
Posted 7 days ago

📍 Philippines

🏢 Company: Manila Recruitment👥 11-50Staffing AgencyConsultingHuman ResourcesRecruitingSocial Media

  • At least 3 years of experience in Ruby on Rails.
  • At least 3 years of experience in Typescript/React/Next.js.
  • Experience with any cloud platform, ideally AWS.
  • Strong relationship management and solution development expertise.
  • Exceptional communication, presentation, and negotiation skills.
  • Collaborative mindset with a proactive, problem-solving approach.
  • Ability to manage complex technical conversations and align cross-functional teams.
  • Taking full responsibility for the delivery of major features or entire systems, ensuring quality and meeting deadlines.
  • Providing technical mentorship and guidance to less experienced team members, helping with their career growth.
  • Working closely with stakeholders, such as product managers and business leaders, to align technical solutions with business goals.
  • Ensuring code meets high standards of quality, performance, and maintainability.
  • Identifying opportunities to improve development practices, performance, and team efficiency.
  • Designing systems that can scale and meet performance requirements, addressing architectural challenges.
  • Ensuring that systems and software are secure, robust, and adhere to compliance standards where required.

AWSNode.jsPythonElasticSearchRuby on RailsSnowflakeTypeScriptAirflowNext.jsReactTerraform

Posted 7 days ago
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🔥 GCP Data Engineer
Posted 11 days ago

📍 India

🧭 Full-Time

🔍 Experience Management

🏢 Company: Experience.com👥 101-250💰 $14,575,000 Series A about 6 years agoCustomer ServiceConsumerInformation ServicesConsultingSaaSAnalyticsQuality AssuranceInformation TechnologySoftware

  • 4+ years of experience with PySpark and SQL for building scalable ETL pipelines.
  • Strong proficiency in Python programming.
  • Knowledge of GCP Data Analytics ecosystem (BigQuery, PySpark, SQL, etc.).
  • Experience with Airflow/Composer for workflow orchestration.
  • Experience with in-memory applications, database design, and data integration.
  • Strong analytical thinking and problem-solving abilities.
  • Design, build, and maintain scalable and robust ETL/ELT pipelines using PySpark and SQL.
  • Work on data extraction, transformation, and loading processes from multiple sources into data warehouses such as BigQuery.
  • Leverage GCP data analytics tools (BigQuery, DataProc, Cloud Functions, etc.) to process and analyze data.
  • Optimize data workflows for benchmarking, performance, and tuning to ensure efficiency and reliability.
  • Collaborate with engineering and analytics teams to develop data integration solutions that meet business needs.
  • Ensure the accuracy and quality of data by implementing strong in-memory applications and database designs.
  • Implement monitoring and alerting for pipelines and workflows to ensure data consistency and issue resolution.

PythonSQLElasticSearchETLGCPMongoDBAirflow

Posted 11 days ago
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🔥 DevOps Engineer (Digital Marketing)
Posted 12 days ago

📍 Bulgaria, Georgia, Moldova, Poland, Romania, Ukraine

🧭 Full-Time

🔍 Advertising

🏢 Company: Coherent Solutions👥 501-1000OutsourcingSoftware

  • At least 3 years of experience as a DevOps Engineer.
  • Proven experience with data pipelines and tools such as Airflow and Spark (or similar).
  • Experience with databases such as Redis, MongoDB, and ElasticSearch.
  • Expertise in Kubernetes administration.
  • Strong knowledge of Linux administration.
  • Proven experience with CI/CD process implementation.
  • Proficiency in scripting languages such as Bash, Python, or any general-purpose programming language.
  • Experience with cloud platforms, particularly AWS.
  • Familiarity with monitoring and observability tools like OpenTelemetry, Grafana, Prometheus, and ElasticSearch.
  • English proficiency from B1 for effective communication.
  • Operate and maintain infrastructure, ensuring services are healthy, automated, and scalable.
  • Contribute to system design and network implementation with a focus on automation.
  • Collaborate with developers on operational issues, providing guidance and solutions.
  • Develop tools to monitor infrastructure and applications.
  • Troubleshoot system issues across the stack to maintain reliability.
  • Document system designs and operational procedures.
  • Build, monitor, and optimize production systems.

AWSPythonBashElasticSearchKubernetesMongoDBAirflowGrafanaPrometheusRedisSparkCI/CDLinux

Posted 12 days ago
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🔥 Machine Learning Engineer, Search (multiple levels)
Posted 14 days ago

📍 United States

🧭 Full-Time

💸 185800.0 - 322000.0 USD per year

🔍 Technology, Internet Services

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNewsContentSocial NetworkSocial Media

  • 3-10+ years of industry experience as a machine learning engineer or software engineer developing backend/infrastructure at scale.
  • Experience building machine learning models using PyTorch or Tensorflow.
  • Experience with search & recommender systems and pipelines.
  • Production-quality code experience with testing, evaluation, and monitoring using Python and Golang.
  • Familiarity with GraphQL, REST, HTTP, Thrift, or gRPC and design of APIs.
  • Experience developing applications with large scale data stacks such as Kubeflow, Airflow, BigQuery, Kafka, Redis.
  • Develop and enhance Search Retrievals and Ranking models.
  • Design and build pipelines and algorithms for user answers.
  • Collaborate with product managers, data scientists, and platform engineers.
  • Develop and test new pipeline components and deploy ML models.
  • Ensure high uptime and low latency for search systems.

GraphQLPythonKafkaKubeflowMachine LearningPyTorchAirflowRedisTensorflow

Posted 14 days ago
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🔥 Remote Data Automation Engineer
Posted 21 days ago

📍 USA

🧭 Full-Time

🏢 Company: Global Channel Management, Inc

  • 5+ years of experience in building data engineering pipelines on on-premise and cloud platforms (Snowflake, Databricks).
  • Strong experience coding in Python, PySpark, SQL and building automations.
  • Knowledge of Cybersecurity, IT infrastructure, and software concepts.
  • Knowledge of IT Asset Management, ITIL, ITSM practices is a plus.
  • 3+ years of experience using data warehousing/data lake techniques in cloud environments.
  • 3+ years of developing data visualizations using Tableau, Plotly, and Streamlit.
  • Experience with ELT/ETL tools like dbt, Airflow, Cribl, Glue, FiveTran, AirByte, etc.
  • Experience capturing incremental data changes, streaming data ingestion, and stream processing.
  • Experience in processes supporting data governance, data structures, and metadata management.
  • Solid grasp of data and analytics concepts and methodologies including data science, data engineering, and data storytelling.
  • Streamline the process of sourcing and organizing data from various sources using Python, PySpark, SQL, and Spark.
  • Accelerate data for analysis to support analytics efforts.
  • Support the data curation process by feeding the data catalog and knowledge bases.
  • Create data tools to assist analytics and data science team members in building and optimizing data products.

PythonSQLETLSnowflakeTableauAirflowData engineeringData visualization

Posted 21 days ago
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🔥 Staff Data Engineer, Ads
Posted 22 days ago

📍 US

🧭 Full-Time

💸 206700.0 - 289400.0 USD per year

🔍 Social Media / Technology

  • MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
  • 7+ years of experience with large-scale ETL systems and building clean, maintainable code (Python preferred).
  • Strong programming proficiency in Python, SQL, Spark, Scala.
  • Experience with data modeling, ETL concepts, and patterns for data governance.
  • Experience with data workflows, data modeling, and engineering.
  • Experience in data visualization and dashboard design using tools like Looker, Tableau, and D3.
  • Deep understanding of relational and MPP database designs.
  • Proven track record of cross-functional collaboration and excellent communication skills.
  • Act as the analytics engineering lead within Ads DS team contributing to data science data quality and automation initiatives.
  • Work on ETLs, reporting dashboards, and data aggregations for business tracking and ML model development.
  • Develop and maintain robust data pipelines for data ingestion, processing, and transformation.
  • Create user-friendly tools for internal team use, streamlining analysis and reporting processes.
  • Lead efforts to build a data-driven culture by enabling data self-service.
  • Provide technical guidance and mentorship to data analysts.

PythonSQLETLAirflowSparkScalaData visualizationData modeling

Posted 22 days ago
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🔥 Backend Engineer: Experiments Team (Remote)
Posted 29 days ago

📍 Armenia

🧭 Full-Time

💸 90000.0 - 110000.0 USD per year

🔍 Ecommerce

🏢 Company: Constructor

  • Hands-on experience building and owning services for production with Python.
  • Experience with monitoring and quality assurance for services affecting customer experience.
  • Willingness to explore the experimental/data analytics domain.
  • Curiosity about how users interact with the product beyond technical aspects.
  • Experience with PySpark or ETL pipelines (5-10% time to improve these pipelines).
  • Experience building analytical services or experiment platforms.
  • Owning the whole experimentation process from traffic splitting to revealing experiment results.
  • Developing the internal experiments platform for Machine Learning and Data Science teams.
  • Implementing user-facing features for running and analyzing the results of experiments.
  • Improving the performance and scalability of services.
  • Enhancing the trustworthiness and efficiency of experiments by integrating advanced A/B testing techniques.

AWSPostgreSQLPythonSQLFlaskAirflowData scienceFastAPIA/B testing

Posted 29 days ago
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