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Senior Sql Data Engineer Jobs in Indiana (NOW HIRING)

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes ... Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across ...

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes ... Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across ...

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes ... Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across ...

Lasting Change, Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

The Fabric Data Engineer is an integral member of Lasting Change's data platform team, contributing ... Proficiency in Python, PySpark, Spark SQL, Delta Lake, and T-SQL. * Experience with data modeling ...

Lasting Change Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Description The Fabric Data Engineer is an integral member of Lasting Change's data platform team ... Proficiency in Python, PySpark, Spark SQL, Delta Lake, and T-SQL. * Experience with data modeling ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Our team has an immediate opening for a full-time, Sr. Data Engineer. If the idea of working on challenging assignments with a team who is passionate about serving others and creating insights sounds ...

SEP

Senior Data Engineer (in person)

Westfield, IN

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready ... Expert-level SQL skills with strong proficiency in Python; experience with Spark, Scala, R, or C# ...

SEP

Senior Data Engineer (in person)

Westfield, IN

$101K - $138K/yr

At SEP, we're building that foundation -- and we're looking for a Senior Data Engineer who's ready ... Expert-level SQL skills with strong proficiency in Python; experience with Spark, Scala, R, or C# ...

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready ... Expert-level SQL skills with strong proficiency in Python; experience with Spark, Scala, R, or C# ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Senior Sql Data Engineer information

How does a senior SQL data engineer typically collaborate with data analysts and other stakeholders in an organization?

Senior SQL Data Engineers work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data solutions. They often participate in requirements-gathering sessions, translate business needs into technical specifications, and design or optimize SQL queries, data models, and ETL processes. Effective communication is key, as they must explain complex technical concepts to non-technical team members and ensure data solutions align with business objectives. This collaboration helps ensure the integrity, availability, and usability of data across the organization.

What is a senior SQL data engineer?

Senior SQL Data Engineers are experienced professionals who design, develop, and maintain databases using SQL and related technologies. They are responsible for ensuring data is stored efficiently, securely, and is easily accessible for analysis and reporting. In addition to writing advanced SQL queries, they often optimize database performance, manage data integration processes, and collaborate with other IT and business teams to support data-driven decision making. Their role may also involve mentoring junior engineers and implementing best practices for data management.

What is the difference between Senior Sql Data Engineer vs Data Analyst?

AspectSenior Sql Data EngineerData Analyst
Required SkillsSQL, ETL, data warehousing, scripting, database managementSQL, data visualization, statistical analysis, reporting
Work EnvironmentData engineering teams, backend systems, large-scale data infrastructureBusiness units, reporting teams, data visualization tools
CertificationsSQL certifications, cloud platform credentials (AWS, Azure)Data analysis certifications (CAP, Microsoft Certified Data Analyst)

Senior Sql Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data and generate reports. Both roles require SQL expertise but differ in scope and tools used, with engineers handling data architecture and analysts focusing on insights and visualization.

What are the key skills and qualifications needed to thrive as a senior SQL data engineer, and why are they important?

To thrive as a Senior SQL Data Engineer, you need advanced SQL programming skills, strong database design expertise, and experience with data modeling, often supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or PostgreSQL, ETL tools, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data issues. These skills ensure the efficient management, integrity, and accessibility of data systems that drive business insights and operations.

What are the most commonly searched types of Sql Data Engineer jobs in Indiana?

The most popular types of Sql Data Engineer jobs in Indiana are:

What are popular job titles related to Senior Sql Data Engineer jobs in Indiana?

For Senior Sql Data Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Sql Data Engineer jobs in Indiana look for?

The top searched job categories for Senior Sql Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Senior Sql Data Engineer jobs?

Cities in Indiana with the most Senior Sql Data Engineer job openings:

Senior Sql Data Engineer jobs near you

Senior Data Engineer (ETL / Python Developer)

CSpring

Indianapolis, IN • On-site

Full-time

Posted 5 days ago

Job description

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.
We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.
Why You'll Love Working Here
  • Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here.
  • Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process.
  • Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You'll Do
  • Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks.
  • Build and optimize scalable data processing solutions using Python, Spark, and Databricks.
  • Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server.
  • Follow data engineering best practices for performance, reliability, reusability, and security.
  • Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care).
  • Develop robust data validation, reconciliation, and audit-traceable data pipelines.
  • Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness.
  • Participate in cloud migration and modernization initiatives within Azure-based architectures.
  • Support production operations, incident resolution, and root cause analysis.

Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub.
Requirements
  • 5+ years of data engineering experience with a focus on enterprise data warehousing.
  • 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools.
  • 5+ years of Python development for data engineering and automation.
  • 5+ years of Teradata experience, including Teradata loader utilities.
  • 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent).
  • Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server).
  • 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python).
  • Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD).
  • Proven solid analytical, problem-solving, and troubleshooting skills.
  • Periodic travel may be required based on project or customer needs.

Preferred Qualifications
  • Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field.
  • Azure certifications related to data engineering or analytics.
  • Experience supporting State Medicaid EDW or MMIS analytics environments.
  • Healthcare or public sector analytics experience (Medicaid / Medicare preferred).
  • Data modeling experience in enterprise data warehouse environments.
  • Scripting experience (PowerShell, Bash) for automation and orchestration.
  • Experience designing or consuming APIs (REST) within data platforms.
  • Familiarity with data quality frameworks, reconciliation, and audit support.

Come Build With Us
At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment-apply today!

Apply