Data Engineer

A client of ours in Indianapolis is looking for a Data Engineer to join their data team and help design, build, and maintain scalable data infrastructure. In this role, you will develop and optimize data pipelines, manage large datasets, and ensure reliable access to high-quality data that supports analytics, reporting, and machine learning initiatives. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes • Develop and optimize SQL queries for data extraction, transformation, and reporting • Build and maintain data warehouses and data models • Integrate data from multiple sources and ensure data quality and consistency • Collaborate with data scientists, analysts, and software engineers to support data-driven initiatives • Monitor, troubleshoot, and improve data pipeline performance • Implement best practices for data governance, security, and reliability • Document data processes and workflows Required Qualifications • 3–5+ years of experience as a Data Engineer or in a similar role • Strong proficiency in SQL for data manipulation, transformation, and optimization • Experience building and maintaining ETL/ELT pipelines • Experience working with relational databases and data warehouses • Strong understanding of data modeling and database design • Experience with Python or another scripting language for data processing • Familiarity with version control systems such as Git • Strong analytical and problem-solving skills Preferred Qualifications • Experience with cloud data platforms (Azure, AWS, or GCP) • Experience with data pipeline tools such as Airflow, Databricks, or similar platforms • Experience with big data technologies such as Spark or Hadoop • Familiarity with data visualization or BI tools (Power BI, Tableau, etc.) • Experience with data warehouse technologies such as Snowflake, Redshift, or BigQuery