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Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformKafkaPythonScalaSparkSQLTableau
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines and workflows across modern cloud data platforms—Snowflake, Databricks, Microsoft Fabric, or equivalent
- Implement ELT/ETL processes with a focus on data quality, performance, reliability, and maintainability
- Assemble and transform large, complex datasets that meet both functional and non-functional business requirements
- Build and optimize data models to support analytics, reporting, and AI/ML use cases
- Work across cloud environments (AWS, Azure, GCP) and their native data services
- Contribute to solution design discussions alongside architects; bring engineering-level perspective on feasibility, complexity, and implementation trade-offs
- Help define data pipeline patterns, platform configurations, and engineering standards within the engagement
- Identify opportunities to improve data infrastructure: automate manual processes, improve data delivery, redesign for greater scalability and performance
- Build analytics tools and data products that surface actionable insights for clients across key business metrics
- Support integration with BI and visualization tools (Power BI, Tableau, Looker, Qlik, or similar)
- Ensure data products are well-documented, governed, and ready for downstream consumption
- Participate in client discovery and requirements-gathering sessions; contribute an engineering-level perspective on feasibility, complexity, and implementation approach
- Support pre-sales and scoping activities alongside Architects and Pre-Sales teams—help validate that proposed solutions are technically achievable before commitments are made
- Engage directly with client technical teams throughout the engagement lifecycle; build credibility through engineering quality and clear communication
- Work effectively across multiple client engagements at different stages of the implementation lifecycle
- Collaborate with architects, solution owners, and client technical teams to deliver against agreed outcomes
- Mentor junior data engineers; share knowledge and raise the engineering quality of the teams you work with
- Communicate technical progress, blockers, and decisions clearly to both technical and non-technical stakeholders.
Requirements
What you’ll need- Bachelor's Degree or equivalent experience and/or military experience
- 5+ years in data engineering or cloud data platform development roles
- 6+ years of advanced SQL knowledge across multiple database environments and data modeling patterns
- Hands-on experience developing on modern cloud data platforms—Snowflake, Databricks, or equivalent; production-grade implementation experience, not just familiarity
- Experience with cloud data stacks on AWS, Azure, and/or GCP (e.g., EMR, Redshift, Glue, Kinesis/Kafka, Azure Data Factory, Synapse, BigQuery, Dataproc)
- Strong experience building data pipelines on Spark; proficiency in Python and/or Scala
- Experience with data pipeline orchestration tools (Airflow, dbt, or similar)
- Familiarity with lakehouse architectures, data mesh/fabric patterns, and modern data modeling approaches
- Exposure to AI-ready data engineering—building pipelines and data foundations that support GenAI, Agentic AI, and ML workloads
- Solid communication skills; ability to work with both technical teams and business stakeholders across client engagements.
Benefits
Comp & perks- Health insurance
- 401k matching
- Paid time off
- Flexible working hours
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringcloud data platform developmentadvanced SQLdata modelingdata pipeline developmentSparkPythonScaladata pipeline orchestrationAI-ready data engineering
Soft Skills
communicationcollaborationmentoringproblem-solvingclient engagementrequirements gatheringsolution designcredibility buildingtechnical documentationstakeholder management
Certifications
Bachelor's Degreemilitary experience