Sr. Data Engineer
Job Title: Sr Data Engineer
Location-Type: Hybrid (3x/week onsite, Charlotte, NC) – East Coast time zone
Start Date Is: 3/9
Duration: 6-month Contract-to-Hire (C2H)
Compensation Range: $88–$100/hr (W2)
Job Description:
Senior Data Engineer to build and scale a modern cloud data platform—hands-on development in Python/SQL with Snowflake dbt, partnering closely with architects and distributed teams.
Day-to-Day Responsibilities:
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Build, optimize, and support ELT/ETL pipelines using Python, SQL, Snowflake, and dbt
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Participate in sprint planning, daily standups, and technical design discussions
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Collaborate with data architects; challenge designs and drive pragmatic implementation decisions
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Conduct code reviews and contribute to engineering standards and best practices
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Work cross-functionally with teams across the East Coast and offshore (India) on daily calls
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Support reliability practices (monitoring, data quality checks, lineage, and operational readiness)
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Contribute to CI/CD practices for data pipelines and deployments
Requirements:
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Must-Haves:
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5–7 years of overall Data Engineering experience (senior-level, hands-on)
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Strong Python and advanced SQL fundamentals
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Snowflake implementation experience (most critical) including performance tuning/optimization
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dbt (Data Build Tool) experience in production environments
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Experience working in a cloud environment (Azure, AWS, or GCP)
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Comfortable working in agile teams and collaborating across time zones
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Nice-to-Haves:
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Azure experience (especially Azure Data Factory / Synapse)
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DataOps/observability tooling exposure (monitoring, freshness/volume checks, lineage)
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Financial services / large-scale regulated data experience
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CI/CD experience (Azure DevOps or GitHub Actions)
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Snowpark or AI/ML enablement exposure
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