Staff Software Engineer, Infrastructure Data Engineering
AWSCloudETLPythonSQL
Data Engineer
Definitive Healthcare
Posted: 10/19/2026AirflowApacheAWSAzureETLGoogle Cloud PlatformKubernetesPySparkPython+2 more
Senior Data Engineer
ida (Innovations- und Digitalagentur GmbH)
Posted: 10/19/2026AirflowApacheCloudDockerGoogle Cloud PlatformPandasPostgresPythonSQL
SME Data Engineer
CACI International Inc
Posted: 10/19/2026CloudOracle
Data Architect
L3Harris Technologies
Posted: 10/19/2026
Manager, Data Engineering
Commerce
Posted: 10/19/2026AirflowApachePythonSQL
Senior Staff Product Manager, Data Platform
Cisco
Posted: 10/19/2026BigQueryCloudSplunk
Manager, Data Platform
Johnson & Johnson
Posted: 10/19/2026AirflowApacheAWSAzureCloudERPPySparkPythonSpark+1 more
Data Platform Manager
Johnson & Johnson
Posted: 10/19/2026AirflowApacheAWSAzureCloudERPPySparkPythonSpark+1 more
Senior Data Engineer
Clear Street
Posted: 10/18/2026CloudETLKubernetesPythonSQL
Senior Data Engineer
Retail Insight
Posted: 10/17/2026ApacheAWSAzureCloudETLGoogle Cloud PlatformKafkaPythonSpark+3 more
AI Engineer – Data Scientist I
Bank of America
Posted: 10/17/2026PythonC++
Power BI Data Engineer
Legence
Posted: 10/17/2026AzureCloudETLPythonSQL
Data Engineer, AI Support
Insurance Institute for Business & Home Safety - IBHS
Posted: 10/17/2026AirflowAWSAzureCloudETLLinuxNoSQLPythonShell Scripting+3 more
Data Architect
OPENDataJobs
Posted: 10/17/2026CloudSQL
Senior Data Architect – Associate Director
Crowe
Posted: 10/17/2026CloudETLPythonSQL
AI Engineer, Data Scientist I
Bank of America
Posted: 10/17/2026PythonC++
Assistant Chief Engineer, Data Centers
Jones Lang LaSalle Americas, Inc.
Posted: 10/16/2026Software Engineer, Data & AI, PhD Intern
Cisco
Posted: 10/16/2026ApacheAWSAzureCloudDistributed SystemsDockerHadoopKubernetesMapReduce+4 more
Mid-Level Data Engineer, Databricks
TeamWorx Security
Posted: 10/16/2026CloudETLGoogle Cloud PlatformPySparkPythonSparkSQLUnity
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating scalable data systems, with a strong focus on data ingestion, transformation, and quality assurance. Proficient in leveraging AI for workflow improvements while ensuring data integrity and accountability.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData Pipeline DevelopmentAWS Cloud ExperienceData Modeling
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build data systems that help teams understand and manage infrastructure usage and cost
- Lead the design and hands-on delivery of reliable data products, including pipelines, models, and services
- Support infrastructure planning, cost attribution, and budget workflows
- Set technical direction and define a roadmap for reliable, scalable infrastructure data products
- Design, build, and operate production ingestion and transformation pipelines, data models, and services
- Strengthen shared data products through contracts, automated quality checks, reconciliation, documentation, and operational monitoring
- Lead ambiguous, cross-functional initiatives from problem definition and technical trade-offs through rollout and adoption
- Raise the engineering bar through mentorship and design reviews
- Use AI to investigate data-quality or pipeline issues, implement and document transformations and interfaces, and help partners self-serve trusted infrastructure insights while protecting sensitive information
Requirements
What you’ll need- Bachelor’s degree in computer science, a related field, or equivalent practical experience
- Significant experience designing, building, and operating production data systems or data-intensive services at scale
- Strong software engineering skills in Python and SQL
- Record of writing tested, maintainable production code
- Deep experience with ingestion, large-scale ETL and transformation, data modeling, and workflow orchestration
- Experience designing data interfaces and contracts and improving quality, freshness, completeness, and consistency
- Track record of leading complex technical work across teams
- Ability to influence through technical judgment and clear communication and mentor other engineers
- Experience operating dependable data pipelines or services, including testing, monitoring, and incident response
- Experience with AWS or similar cloud environments
- Ability to use AI to improve speed and quality in day-to-day workflow
- Critical evaluation and verification of AI-assisted work
- High integrity and ownership, including protecting sensitive data and accountability for final decisions
- Bonus: infrastructure cost or usage data, budgeting, shared data platforms, dbt, data lineage, hierarchical ownership modeling, and large cloud-native multi-tenant platforms at Internet scale
Benefits
Comp & perks- Equity eligibility
- Flexible working model
- In-person collaboration 1–2 times/month
- Medical or religious accommodation support
- Equal opportunity employment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IngestionETL ProcessesWorkflow OrchestrationProduction Code MaintenanceData Quality AssuranceTechnical DocumentationAutomated Quality ChecksIncident ResponseData TransformationData Interfaces Design
Soft Skills
Clear CommunicationMentorshipTechnical JudgmentCross-Functional LeadershipProblem Definition
Tools & Technologies
AWSDbtData Lineage ToolsCloud-Native Platforms
Industry Keywords
Infrastructure Cost ManagementBudget WorkflowsShared Data PlatformsData FreshnessData Completeness