Design, build, and optimize scalable cloud data pipelines and infrastructure. Maintain and refactor SQL and ETL processes, automate data workflows, ensure data quality/security, and troubleshoot complex issues. Provide technical leadership and mentor junior engineers while collaborating with stakeholders to translate requirements.
Summary:
The Senior Data Engineer designs, builds, and optimizes scalable data pipelines and cloud-based data infrastructure. This role is critical to managing and organizing structured and unstructured data across the organization to enable outcomes analysis, insights, compliance, reporting, business intelligence, and data science. The Senior Engineer ensures data quality, security, and performance across platforms while providing technical leadership and mentorship to junior engineers.
Essential Duties & Responsibilities:
- Design and build efficient, scalable data pipelines using cloud services
- Maintain and refactor complex SQL and ETL processes in enterprise data platforms
- Develop automation scripts, APIs, and infrastructure components
- Collaborate with architects, analysts, and stakeholders to translate requirements
- Ensure strong data quality, integrity, and security controls across platforms
- Troubleshoot complex data issues and lead root cause analysis
Skills & Competencies:
- Advanced SQL and strong data modeling expertise
- Proficiency in Python or JVM languages for data engineering and automation
- Deep knowledge of cloud-based data patterns, distributed systems, and modern data architectures
- Strong analytical reasoning and problem-solving abilities
- Ability to lead delivery efforts and mentor junior team members
- Clear communication skills with the ability to explain technical concepts to non-technical audiences
- Ability to work independently and collaborate effectively in cross-functional environments
Minimum Qualifications:
- Bachelor’s degree in Information Systems, Computer Science, Data Management, or related field preferred
- 5–8 years of experience in data engineering or a similar role
- Strong SQL skills and deep knowledge of relational databases and data warehousing
- Proficiency in Python or JVM languages (e.g., Java, Scala, Kotlin) for data manipulation and automation
- Hands-on experience with cloud data platforms (e.g., AWS, Azure, or GCP)
- Solid understanding of ETL/ELT processes, data modeling, and data architecture
- Track record of owning and leading technical projects
- Experience with Agile methodologies and version control
Similar Jobs
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Build, deploy, and operate production-grade data pipelines and data products for healthcare audiences. Design transformations, data models, and governed views using Python, SQL, Airflow, S3, Snowflake, and EMR. Implement data-quality, monitoring, and privacy-by-design controls for PHI/PII. Partner with product, analytics, and platform teams to onboard sources, support audience discovery, segmentation, activation, measurement, and troubleshoot production issues.
Top Skills:
Amazon EmrAmazon S3Apache AirflowAthenaHivePythonSnowflakeSQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and maintain scalable ETL/ELT data pipelines and architectures across warehouses, lakes, and streaming environments. Ensure data governance, quality, and security. Lead delivery of analytics data products, optimize production systems, collaborate with stakeholders, and mentor junior data engineers.
Top Skills:
Amazon RedshiftApache AirflowSparkAzureCi/CdDatabricksEtl/EltGitJavaKafkaLinuxPythonScalaSnowflakeSQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, test, document, and maintain scalable big-data solutions. Evaluate and deploy tools and frameworks, develop APIs and integrations, translate requirements into designs, collaborate across teams, participate in code reviews, and provide production support and documentation.
Top Skills:
DatabricksHadoopJSONPythonScalaSnowflakeSparkSQLWeb Services
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
