Senior Data Engineer

Posted 3 days agoViewed

View full description

💎 Seniority level: Senior, 5+ years

📍 Location: US & Canada, EST, NOT STATED

🔍 Industry: Fintech

🏢 Company: Mesa👥 11-50 Product Design Manufacturing Professional Services Software

⏳ Experience: 5+ years

🪄 Skills: PostgreSQLSQLETLTypeScriptData engineeringMicroservicesData modeling

Requirements:

5+ years of software engineering and operationalizing data pipelines with large and complex datasets.
Experience with data modeling, ETL, and patterns for efficient data governance.
Experience manipulating large-scale structured and unstructured data.
Experience working with batch and stream processing.
Strong proficiency with Typescript is a must.
Strong SQL skills.
Experience using dashboarding tools like Mode, Tableau, Looker.
Passionate about event-driven architecture, microservices, data reliability, and observability.
Ability to thrive in a fast-paced startup environment and handle ambiguity.

Responsibilities:

Lead data engineering at Mesa by developing and operationalizing scalable and reliable data pipelines.
Assemble large, complex data sets that meet functional and non-functional requirements.
Work with product and cross functional business stakeholders to enable visualization layers for data-driven decision-making.
Drive technical delivery, including architectural design, development, and QA.
Participate in customer discovery efforts as beta users help refine the product.

Apply

Related Jobs

Apply

🔥 Senior Data Engineer, Data Platform

Posted 1 day ago

📍 Canada

🧭 Full-Time

🔍 Technology for small businesses

🏢 Company: Jobber👥 501-1000💰 $100,000,000 Series D almost 2 years agoSaaS Mobile Small and Medium Businesses Task Management

Proven ability to lead and collaborate in team environments.
Strong coding skills in Python and SQL.
Expertise in building and maintaining ETL pipelines using tools like Airflow and dbt.
Experience with AWS tools such as Redshift, Glue, and Lambda.
Familiarity with handling large datasets using tools like Spark.
Experience with Terraform for infrastructure management.
Knowledge of dimensional modelling, star schemas, and data warehousing.

Design, develop, and maintain batch and real-time data pipelines within cloud infrastructure (preferably AWS).
Develop tools that automate processes and set up monitoring systems.
Collaborate with teams to extract actionable insights from data.
Lead initiatives to propose new technologies, participate in design and code reviews, and maintain data integrity.

AWSPythonSQLApache AirflowETLSparkTerraform

Posted 1 day ago

Apply

🔥 Senior Data Engineer

Posted 8 days ago

📍 South Africa, Mauritius, Kenya, Nigeria

🔍 Technology, Marketplaces

BSc degree in Computer Science, Information Systems, Engineering, or related technical field or equivalent work experience.
3+ years related work experience.
Minimum of 2 years experience building and optimizing ‘big data’ data pipelines, architectures and maintaining data sets.
Experienced in Python.
Experienced in SQL (PostgreSQL, MS SQL).
Experienced in using cloud services: AWS, Azure or GCP.
Proficiency in version control, CI/CD and GitHub.
Understanding/experience in Glue and PySpark highly desirable.
Experience in managing data life cycle.
Proficiency in manipulating, processing and architecting large disconnected data sets for analytical requirements.
Ability to maintain and optimise processes supporting data transformation, data structures, metadata, dependency and workload management.
Good understanding of data management principles - data quality assurance and governance.
Strong analytical skills related to working with unstructured datasets.
Understanding of message queuing, stream processing, and highly scalable ‘big data’ datastores.
Strong attention to detail.
Good communication and interpersonal skills.

Suggest efficiencies and execute on implementation of internal process improvements in automating manual processes.
Implement enhancements and new features across data systems.
Improve streamline processes within data systems with support from Senior Data Engineer.
Test CI/CD process for optimal data pipelines.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Highly efficient in ETL processes.
Develop and conduct unit tests on data pipelines as well as ensuring data consistency.
Develop and maintain automated monitoring solutions.
Support reporting and analytics infrastructure.
Maintain data quality and data governance as well as upkeep of overall maintenance of data infrastructure systems.
Maintain data warehouse and data lake metadata, data catalogue, and user documentation for internal business users.
Ensure best practice is implemented and maintained on database.

AWSPostgreSQLPythonSQLETLGitCI/CD

Posted 8 days ago

Apply

🔥 Senior Data Engineer

Posted 18 days ago

📍 US

💸 103200.0 - 128950.0 USD per year

🔍 Genetics and healthcare

🏢 Company: Natera👥 1001-5000💰 $250,000,000 Post-IPO Equity over 1 year ago🫂 Last layoff almost 2 years agoWomen's Biotechnology Medical Genetics Health Diagnostics

BS degree in computer science or a comparable program or equivalent experience.
8+ years of overall software development experience, ideally in complex data management applications.
Experience with SQL and No-SQL databases including Dynamo, Cassandra, Postgres, Snowflake.
Proficiency in data technologies such as Hive, Hbase, Spark, EMR, Glue.
Ability to manipulate and extract value from large datasets.
Knowledge of data management fundamentals and distributed systems.

Work with other engineers and product managers to make design and implementation decisions.
Define requirements in collaboration with stakeholders and users to create reliable applications.
Implement best practices in development processes.
Write specifications, design software components, fix defects, and create unit tests.
Review design proposals and perform code reviews.
Develop solutions for the Clinicogenomics platform utilizing AWS cloud services.

AWSPythonSQLAgileDynamoDBSnowflakeData engineeringPostgresSparkData modelingData management

Posted 18 days ago

Apply

🔥 Senior Data Engineer - Platform Engineering

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 167200.0 - 209000.0 USD per year

🔍 Entertainment, Anime, Streaming

🏢 Company: Crunchyroll, LLC

Bachelor's degree in Computer Science, Information Technology, or a related field.
8+ years of experience in data engineering, focusing on building and optimizing data pipelines and data architecture.
Extensive experience with AWS cloud platform and data-related services.
Proficiency in automation frameworks like Terraform or Cloud Formation.
Proficiency in data lake and pipeline tools like Databricks or AWS Glue.
Proficiency in one or more programming languages such as Python or Java.
Strong understanding of SQL and NoSQL databases, and experience in enabling analytical queries.
Experience with search optimization, CI/CD pipelines, and best practices in data engineering.
Strong problem-solving skills and ability to own and execute projects.

Design, implement, and optimize data services and pipelines to ensure they support business needs.
Collaborate with cross-functional teams to enable operational data analysis and enhance eventing systems.
Develop tools that empower data and services teams.
Drive 100% automation and establish best practices for data architectures.

AWSPythonSQLDynamoDBApache KafkaData engineeringCI/CDTerraform

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 United States

🧭 Full-Time

🔍 Construction technology

🏢 Company: EquipmentShare

7+ years of relevant data platform development experience.
Proficient with SQL and a high-order object-oriented programming language (e.g., Python).
Experience in designing and building distributed data architectures.
Experience with production-grade data pipelines using tools like Airflow, dbt, DataHub, MLFlow.
Experience with distributed data platforms like Kafka, Spark, Flink.
Familiarity with event data streaming at scale.
Proven ability to learn and apply new technologies quickly.
Experience in building observability and monitoring into data products.

Collaborate with Product Managers, Designers, Engineers, Data Scientists, and Data Analysts.
Design, build, and maintain the data platform for automation and self-service.
Develop data product framework for analytics features.
Create and manage CI/CD pipelines and automated deployment processes.
Implement data monitoring and alerting capabilities.
Document architecture and processes for collaboration.
Mentor peers to enhance their skills.

AWSPythonSQLApache AirflowKafkaMLFlowSnowflakeSparkCI/CD

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 United States, United Kingdom, Spain, Estonia

🔍 Identity verification

🏢 Company: Veriff👥 501-1000💰 $100,000,000 Series C almost 3 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Fraud Detection Information Technology Cyber Security Identity Management

Expert-level knowledge of SQL, particularly with Redshift.
Strong experience in data modeling with an understanding of dimensional data modeling best practices.
Proficiency in data transformation frameworks like dbt.
Solid programming skills in languages used in data engineering, such as Python or R.
Familiarity with orchestration frameworks like Apache Airflow or Luigi.
Experience with data from diverse sources including RDBMS and APIs.

Collaborate with business stakeholders to design, document, and implement robust data models.
Build and optimize data pipelines to transform raw data into actionable insights.
Fine-tune query performance and ensure efficient use of data warehouse infrastructure.
Ensure data reliability and quality through rigorous testing and monitoring.
Assist in migrating from batch processing to real-time streaming systems.
Expand support for various use cases including business intelligence and analytics.

PythonSQLApache AirflowETLData engineeringJSONData modeling

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 USA

🧭 Full-Time

💸 165000.0 - 210000.0 USD per year

🔍 E-commerce and AI technologies

🏢 Company: Wizard👥 11-50 Customer Service Manufacturing

5+ years of professional experience in software development with a focus on data engineering.
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Proficiency in Python with software engineering best practices.
Strong expertise in building ETL pipelines using tools like Apache Spark.
Hands-on experience with NoSQL databases like MongoDB, Cassandra, or DynamoDB.
Proficiency in real-time stream processing systems such as Kafka or AWS Kinesis.
Experience with cloud platforms (AWS, GCP, Azure) and technologies like Delta Lake and Parquet files.

Develop and maintain scalable data infrastructure for batch and real-time processing.
Build and optimize ETL pipelines for efficient data flow.
Collaborate with data scientists and cross-functional teams for accurate monitoring.
Design backend data solutions for microservices architecture.
Implement and manage integrations with third-party e-commerce platforms.

AWSPythonDynamoDBElasticSearchETLGCPGitHadoopKafkaMongoDBRabbitmqAzureCassandraRedis

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 United States

🧭 Full-Time

🏢 Company: Avalore, LLC

Master’s or PhD in statistics, mathematics, computer science, or related field.
8+ years of experience as a Data Engineer within the IC.
Outstanding communication skills, influencing abilities, and client focus.
Professional proficiency in English is required.
Current, active Top Secret security clearance.
Applicants must be currently authorized to work in the United States on a full-time basis.

Develops and documents data pipelines for ingest, transformation, and preparation of data for AI applications.
Designs scalable technologies such as streaming and transformation, joining disparate data sets for predictive analytics.
Develops API interfaces for accessibility.
Leads technical efforts and guides development teams.

PythonSQLApache AirflowArtificial IntelligenceETLMachine LearningAPI testingData engineering

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 USA

🧭 Full-Time

💸 190000.0 - 220000.0 USD per year

🔍 B2B data / Data as a Service (DaaS)

🏢 Company: People Data Labs👥 101-250💰 $45,000,000 Series B about 3 years agoDatabase Artificial Intelligence (AI)Developer APIs Machine Learning Analytics B2B Software

5-7+ years industry experience with strategic technical problem-solving.
Strong software development fundamentals.
Experience with Python.
Expertise in Apache Spark (Java, Scala, or Python-based).
Proficiency in SQL.
Experience building scalable data processing systems.
Familiarity with data pipeline orchestration tools (e.g., Airflow, dbt).
Knowledge of modern data design and storage patterns.
Experience working in Databricks.
Familiarity with cloud computing services (e.g., AWS, GCP, Azure).
Experience in data warehousing technologies.
Understanding of modern data storage formats and tools.

Build infrastructure for ingestion, transformation, and loading of data using Spark, SQL, AWS, and Databricks.
Create an entity resolution framework for merging billions of entities into clean datasets.
Develop CI/CD pipelines and anomaly detection systems to enhance data quality.
Provide solutions to undefined data engineering problems.
Assist Engineering and Product teams with data-related technical issues.

AWSPythonSQLKafkaAirflowData engineeringPandasCI/CD

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 2 months ago

📍 USA

🧭 Full-Time

💸 140000 - 160000 USD per year

🔍 Health tech

🏢 Company: Carrum Health👥 101-250💰 $45,000,000 Series B over 1 year agoHuman Resources Hospital Wellness Health Care

10+ years professional experience as a data engineer, including ownership of data products.
Proficiency with data engineering technologies including Python, PostgreSQL, AWS Athena, and Docker.
History of designing systems focused on data quality and scalability.
Experience in the healthcare space or another highly-regulated industry.
Strong interpersonal skills and the ability to work collaboratively.

Develop and maintain creative solutions to evolving challenges that span data ingestion, processing, and modeling.
Collaborate closely with internal and external stakeholders to understand data needs.
Grow and maintain pipelines that power analytics, machine learning, and data products.
Participate early in the development of data foundation and infrastructure, implementing quality control and reporting systems.
Understand HIPAA compliance and support Carrum’s success in this area.

AWSDockerPostgreSQLPythonBashETLMachine LearningRubyTableauData engineeringData scienceDevOpsCompliance

Posted about 2 months ago

Apply

Senior Data Engineer

Requirements:

Responsibilities:

Related Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities