Data Engineer

Role Summary

The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to support business operations, analytics, and reporting. This role requires strong technical expertise in data architecture, ETL/ELT processes, and cloud platforms, with the ability to collaborate across teams to ensure data quality, accessibility, and performance. Location: Indianapolis, Indiana.

Responsibilities

• Design and implement robust data pipelines for ingestion, transformation, and publishing of structured and unstructured data.
• Develop and maintain scalable ETL/ELT workflows using tools like Apache Spark and Airflow.
• Optimize database schemas and query performance across relational and NoSQL databases.
• Ensure data integrity, lineage, and governance through automated validation and monitoring.
• Collaborate with data scientists, analysts, and architects to deliver curated datasets for analytics and machine learning.
• Integrate data from several cloud sources (AWS, Azure, GCP).
• Implement CI/CD pipelines for data workflows and manage versioning of data assets.
• Partner with business stakeholders to understand data requirements and translate them into technical solutions.
• Work with DevOps and infrastructure teams to ensure secure and scalable deployment of data services.
• Contribute to team-wide best practices.

Skills

• Proficiency in SQL and Python; experience with Scala or Java is a plus.
• Knowledge of data warehousing, OLAP/OLTP systems, and distributed computing.
• Hands-on experience with version control (Git), containerization (Docker), and orchestration (Kubernetes).
• Certifications in cloud platforms (AWS, Azure, GCP) or data engineering tools are a plus.
• Experience in regulated industries (e.g., healthcare, finance) is desirable.
• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.
• Ability to work independently and in cross-functional teams.
• Adaptability to fast-paced environments and evolving technologies.
• Commitment to continuous learning and improvement.

Qualifications

• 3-5 years of experience in data engineering or related roles.
• Expertise in data modeling (conceptual, logical, physical, dimensional).
• Experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery).
• Familiarity with data orchestration tools (e.g., Apache Airflow, Prefect).

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.