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Data Engineering, including building data pipelines, integrations, ETL, data governance, and related aspects using Databricks, Python, PySpark, Azure
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Today
Title: Data Enginee Location: Indianapolis, Indiana, United States (USA) Mandatory Skills: Databricks, Pyspark, azure Data Engineering, including building data pipelines, integrations, ETL, data governance, and related aspects using Databricks, Python, PySpark, Azure
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Third Party, Contract
Depends on Experience
Remote or Hybrid in Indianapolis, Indiana
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7d ago
Senior Data Engineer SnowflakeLocation: Indianapolis, IN (Onsite / Hybrid Preferred) Compensation: $65-70/hr Employment Type: Contract Role OverviewWe are seeking a hands-on Senior Data Engineer with strong Snowflake expertise to support enterprise-scale data platform initiatives. The ideal candidate will have deep experience building ELT pipelines, optimizing Snowflake performance, and designing scalable data models in a cloud-native environment. Key ResponsibilitiesDesign and implement Snowfl
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Contract
65 - 70
Indianapolis, Indiana
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Today
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Key Responsibilities Design, develop, and maintain scalable data pipelines (ETL/ELT) Build and optimize data architectures, including data lakes and data warehouses Integrate data from multiple sources (APIs, databases, third-party systems) Ensure data quality, integrity, and governance standards Collaborate with data analysts, data scientists, and business stakeholders to support analytics needs Imp
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Full-time, Part-time, Contract, Third Party
Indianapolis, Indiana
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Today
Data Engineer Duration: 12 Months Location: Indianapolis, IN Duties and Responsibilities: 5+ years of experience in data engineering, data warehousing, or related roles with a proven track record of production-grade data pipeline development. Strong proficiency in Python and SQL, including experience with libraries such as pandas or PySpark for data manipulation. Deep experience working with relational databases (e.g., PostgreSQL, Oracle) and modern cloud data warehouses (e.g., Snowflake, R
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Contract
Depends on Experience
