Senior Data Engineer

Posted about 2 months agoViewed

View full description

💎 Seniority level: Senior, 5+ years

📍 Location: United States

🔍 Industry: Health and Wellness Solutions

🏢 Company: Panasonic Well

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonETLKafkaKotlinSnowflakeData engineeringComplianceData modeling

Requirements:

5+ years technology industry experience
Proficiency in building data pipelines in Python and/or Kotlin
Deep understanding of relational and non-relational database solutions
Experience with large-scale data pipeline construction
Familiarity with PCI, CCPA, GDPR compliance

Responsibilities:

Design, develop, and optimize automated data pipelines
Identify improvements for data reliability and quality
Own and evolve data architecture with a focus on privacy
Drive continuous improvement in data workflows
Collaborate with Data Scientists, AI Engineers, and Product Managers

Apply

Related Jobs

Apply

🔥 Senior Data Engineer

Posted 3 days ago

📍 Worldwide

🔍 Hospitality

🏢 Company: Lighthouse

🔧 Requirements

4+ years of professional experience using Python, Java, or Scala for data processing (Python preferred)
You stay up-to-date with industry trends, emerging technologies, and best practices in data engineering.
Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
Ship large features independently, generate architecture recommendations and have the ability to implement them
Great communication: Regularly achieve consensus amongst teams
Familiarity with GCP, Kubernetes (GKE preferred), CI/CD tools (Gitlab CI preferred), familiarity with the concept of Lambda Architecture.
Experience with Apache Beam or Apache Spark for distributed data processing or event sourcing technologies like Apache Kafka.
Familiarity with monitoring tools like Grafana & Prometheus.

💡 Responsibilities

Design and develop scalable, reliable data pipelines using the Google Cloud stack.
Optimise data pipelines for performance and scalability.
Implement and maintain data governance frameworks, ensuring data accuracy, consistency, and compliance.
Monitor and troubleshoot data pipeline issues, implementing proactive measures for reliability and performance.
Collaborate with the DevOps team to automate deployments and improve developer experience on the data front.
Work with data science and analytics teams to enable them to bring their research to production grade data solutions, using technologies like airflow, dbt or MLflow (but not limited to)
As a part of a platform team, you will communicate effectively with teams across the entire engineering organisation, to provide them with reliable foundational data models and data tools.
Mentor and provide technical guidance to other engineers working with data.

PythonSQLApache AirflowETLGCPKubernetesApache KafkaData engineeringCI/CDMentoringTerraformScalaData modeling

Posted 3 days ago

Apply

🔥 Senior Data Engineer

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 183600.0 - 216000.0 USD per year

🔍 Software Development

🔧 Requirements

6+ years of experience in a data engineering role building products, ideally in a fast-paced environment
Good foundations in Python and SQL.
Experience with Spark, PySpark, DBT, Snowflake and Airflow
Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python)

💡 Responsibilities

Collaborate on the design and improvements of the data infrastructure
Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
Create data pipelines that stitch together various data sources in order to produce valuable business insights
Create real-time data pipelines in collaboration with the Data Science team

PythonSQLSnowflakeAirflowData engineeringSparkData visualizationData modeling

Posted 4 days ago

Apply

🔥 Senior Data Engineer

Posted 4 days ago

📍 United States

🧭 Full-Time

🔍 Healthcare

🏢 Company: Rad AI👥 101-250💰 $60,000,000 Series C 2 months agoArtificial Intelligence (AI)Enterprise Software Health Care

🔧 Requirements

4+ years relevant experience in data engineering.
Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets.
Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments.
Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR and AWS Batch.
Experience in large scale data processing technologies such as Spark.
Expertise in orchestrating workflows using tools like Metaflow.
Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql).
Hands-on experience with containerization technologies, such as Docker and Kubernetes.

💡 Responsibilities

Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and large-scale data processing technologies like Spark.
Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform.
Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements.
Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions.
Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls.
Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process.
Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.

AWSDockerSQLElasticSearchETLKubernetesData engineeringNosqlSparkData modeling

Posted 4 days ago

Apply

🔥 Senior Data Engineer - Data Services

Posted 4 days ago

📍 Worldwide

🧭 Full-Time

🔧 Requirements

NOT STATED

💡 Responsibilities

Own the design and implementation of cross-domain data models that support key business metrics and use cases.
Partner with analysts and data engineers to translate business logic into performant, well-documented dbt models.
Champion best practices in testing, documentation, CI/CD, and version control, and guide others in applying them.
Act as a technical mentor to other analytics engineers, supporting their development and reviewing their code.
Collaborate with central data platform and embedded teams to improve data quality, metric consistency, and lineage tracking.
Drive alignment on model architecture across domains—ensuring models are reusable, auditable, and trusted.
Identify and lead initiatives to reduce technical debt and modernise legacy reporting pipelines.
Contribute to the long-term vision of analytics engineering at Pleo and help shape our roadmap for scalability and impact.

SQLData AnalysisETLData engineeringCI/CDMentoringDocumentationData visualizationData modelingData analyticsData management

Posted 4 days ago

Apply

🔥 Senior Data Engineer

Posted 5 days ago

📍 United States

🧭 Full-Time

💸 183600.0 - 216000.0 USD per year

🔍 Mental Healthcare

🏢 Company: Headway👥 201-500💰 $125,000,000 Series C over 1 year agoMental Health Care

🔧 Requirements

6+ years of experience in a data engineering role building products, ideally in a fast-paced environment
Good foundations in Python and SQL.
Experience with Spark, PySpark, DBT, Snowflake and Airflow
Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python)
A knack for simplifying data, expressing information in charts and tables

💡 Responsibilities

Collaborate on the design and improvements of the data infrastructure
Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
Create data pipelines that stitch together various data sources in order to produce valuable business insights
Create real-time data pipelines in collaboration with the Data Science team

PythonSQLETLSnowflakeAirflowData engineeringRDBMSSparkRESTful APIsData visualizationData modeling

Posted 5 days ago

Apply

🔥 Senior Data Engineer (AS)

Posted 11 days ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Strong hands-on experience with Python and core Python Data Processing tools such as pandas, numpy, scipy, scikit
Experience with cloud tools and environments like Docker, Kubernetes, GCP, and/or Azure
Experience with Spark/PySpark
Experience with Data Lineage and Data Cataloging
Relational and non-relational database experience
Experience with Data Warehouses and Lakes, such as Bigquery, Databricks, or Snowflake
Experience in designing and building data pipelines that scale
Strong communication skills, with the ability to convey technical solutions to both technical and non-technical stakeholders
Experience working effectively in a fast-paced, agile environment as part of a collaborative team
Ability to work independently and as part of a team
Willingness and enthusiasm to learn new technologies and tackle challenging problems
Experience in Infrastructure as Code tools like Terraform
Advanced SQL expertise, including experience with complex queries, query optimization, and working with various database systems

💡 Responsibilities

Work with business stakeholders to understand their goals, challenges, and decisions
Assist with building solutions that standardize their data approach to common problems across the company
Incorporate observability and testing best practices into projects
Assist in the development of processes to ensure their data is trusted and well-documented
Effectively work with data analysts on refining the data model used for reporting and analytical purposes
Improve the availability and consistency of data points crucial for analysis
Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and Integration with reporting endpoints
Revamping orchestration and execution to reduce critical data delivery times
Database archiving to move data from a live database to cold storage

AWSSQLCloud ComputingData AnalysisETLData engineeringData visualizationData modeling

Posted 11 days ago

Apply

🔥 Senior Data Engineer

Posted 15 days ago

📍 United States of America

🧭 Full-Time

💸 92700.0 - 185400.0 USD per year

🔍 Health Solutions

🔧 Requirements

Bachelors in Computer Science or equivalent
Proven ability to complete projects in a timely manner while clearly measuring progress
Strong software engineering fundamentals (data structures, algorithms, async programming patterns, object-oriented design, parallel programming)
Strong understanding and demonstrated experience with at least one popular programming language (.NET or Java) and SQL constructs.
Experience writing and maintaining frontend client applications, Angular preferred
Strong experience with revision control (Git)
Experience with cloud-based systems (Azure / AWS / GCP).
High level understanding of big data design (data lake, data mesh, data warehouse) and data normalization patterns
Demonstrated experience with Queuing technologies (Kafka / SNS / RabbitMQ etc)
Demonstrated experience with Metrics, Logging, Monitoring and Alerting tools
Strong communication skills
Strong experience with use of RESTful APIs
High level understanding of HL7 V2.x / FHIR based interface messages.
High level understanding of system deployment tasks and technologies. (CI/CD Pipeline, K8s, Terraform).

💡 Responsibilities

Communicate with business leaders to help translate requirements into functional specification
Develop broad understanding of business logic and functionality of current systems
Analyze and manipulate data by writing and running SQL queries
Analyze logs to identify and prevent potential issues from occurring
Deliver clean and functional code in accordance with business requirements
Consume data from any source, such a flat files, streaming systems, or RESTful APIs
Interface with Electronic Health Records
Engineer scalable, reliable, and performant systems to manage data
Collaborate closely with other Engineers, QA, Scrum master, Product Manager in your team as well as across the organization
Build quality systems while expanding offerings to dependent teams
Comfortable in multiple roles, from Design and Development to Code Deployment to and monitoring and investigating in production systems.

AWSSQLCloud ComputingGCPGitJavaKafkaKubernetesAlgorithmsApache KafkaAzureData engineeringData Structures.NETAngularREST APICI/CDRESTful APIsTerraform

Posted 15 days ago

Apply

🔥 Senior Data Engineer

Posted 21 days ago

📍 United States

🧭 Full-Time

💸 144000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: Hungryroot👥 101-250💰 $40,000,000 Series C almost 4 years agoArtificial Intelligence (AI)Food and Beverage E-Commerce Retail Consumer Goods Software

🔧 Requirements

5+ years of experience in ETL development and data modeling
5+ years of experience in both Scala and Python
5+ years of experience in Spark
Excellent problem-solving skills and the ability to translate business problems into practical solutions
2+ years of experience working with the Databricks Platform

💡 Responsibilities

Develop pipelines in Spark (Python + Scala) in the Databricks Platform
Build cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to power pipeline development for the business
Ensure system reliability and performance
Deploy and maintain data pipelines in production
Set an example of code quality, data quality, and best practices
Work with Analysts and Data Engineers to enable high quality self-service analytics for all of Hungryroot
Investigate datasets to answer business questions, ensuring data quality and business assumptions are understood before deploying a pipeline

AWSPythonSQLApache AirflowData MiningETLSnowflakeAlgorithmsAmazon Web ServicesData engineeringData StructuresSparkCI/CDRESTful APIsMicroservicesJSONScalaData visualizationData modelingData analyticsData management

Posted 21 days ago

Apply

🔥 Senior Data Engineer - (Remote - US)

Posted 21 days ago

📍 United States

💸 135000.0 - 155000.0 USD per year

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

8+ years of experience as a data engineer, with a strong background in data lake systems and cloud technologies.
4+ years of hands-on experience with AWS technologies, including S3, Redshift, EMR, Kafka, and Spark.
Proficient in Python or Node.js for developing data pipelines and creating ETLs.
Strong experience with data integration and frameworks like Informatica and Python/Scala.
Expertise in creating and managing AWS services (EC2, S3, Lambda, etc.) in a production environment.
Solid understanding of Agile methodologies and software development practices.
Strong analytical and communication skills, with the ability to influence both IT and business teams.

💡 Responsibilities

Design and develop scalable data pipelines that integrate enterprise systems and third-party data sources.
Build and maintain data infrastructure to ensure speed, accuracy, and uptime.
Collaborate with data science teams to build feature engineering pipelines and support machine learning initiatives.
Work with AWS cloud technologies like S3, Redshift, and Spark to create a world-class data mesh environment.
Ensure proper data governance and implement data quality checks and lineage at every stage of the pipeline.
Develop and maintain ETL processes using AWS Glue, Lambda, and other AWS services.
Integrate third-party data sources and APIs into the data ecosystem.

AWSNode.jsPythonSQLETLKafkaData engineeringSparkAgile methodologiesScalaData modelingData management

Posted 21 days ago

Apply

🔥 Senior Data Engineer

Posted 25 days ago

📍 United States

🧭 Full-Time

💸 170000.0 - 190000.0 USD per year

🔍 Software Development

🏢 Company: Productiv👥 101-250💰 $45,000,000 Series C about 4 years agoDeveloper Platform Communities Service Industry SaaS Data Integration Analytics Enterprise Software Software Application Performance Management

🔧 Requirements

Strong experience designing and implementing ETL/ELT data pipelines using modern data stack technologies (e.g., Redshift, Athena, Presto, DynamoDB).
Expertise in data modeling and designing scalable storage solutions for analytics and reporting.
Strong proficiency in SQL, NoSQL, and Javascript
Experience with monitoring, logging, and alerting for data systems to ensure proactive issue resolution.
Experience with data migration to-and-from S3, DynamoDB, Redshift, and Athena.

💡 Responsibilities

Design, build, and maintain scalable, efficient, and reliable data pipelines
Ensure data integrity and quality
Implement monitoring, alerting, and logging systems
Design and optimize data models and storage solutions
Collaborate with cross-functional teams
Continuously improve data engineering processes and standards
Troubleshoot and resolve complex data issues
Mentor and provide technical leadership

AWSSQLApache AirflowDynamoDBETLJavascriptCross-functional Team LeadershipAlgorithmsData engineeringData StructuresREST APINosqlCommunication SkillsCI/CDProblem SolvingMentoringData visualizationData modelingSoftware EngineeringData management

Posted 25 days ago

Apply