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Senior Sql Data Engineer Jobs in Indiana (NOW HIRING)

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 ...

DHL

Data Engineer I

Whiteland, IN · On-site

Strong understanding of SQL and experience with database management systems such as MySQL ... in programming languages such as Python, Java, or Scala, required * Familiarity with data ...

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# ...

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# ...

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 ...

Coforge

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... SQL, REST APIs & OAuth, Azure OpenAI, RAG & Vector Search. * Document Ingestion, OCR & AI Search ... Data Engineering Experience (5+ Years)

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and innovative ...

Inetum

Data Engineer / 1

Warsaw, IN · On-site

$49 - $81/hr

Join our team to leverage your data engineering skills in a dynamic environment, ensuring seamless ... Experience working with Microsoft SQL Server, including direct database connections, * Practical ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$90 - $110/hr

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for ... Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a ...

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Senior Sql Data Engineer information

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.

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 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 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 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

Pharma Data Engineer - Databricks AWS

RADcube

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted 4 days ago

Job description

Pharma Data Engineer – Databricks & AWS

Hybrid – Indianapolis, IN

We are seeking a Data Engineer with 3–5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This is a senior-flavored engineering role that combines hands-on pipeline and platform work with significant business-facing responsibility — including translating business needs into technical specs, presenting to executive-level stakeholders, and helping stand up new data domains from the ground up. You will design, build, and govern the data infrastructure that powers analytics and reporting across the business, while also acting as a trusted technical partner to non-technical stakeholders.
Key Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines (batch and streaming) using Databricks, AWS, and related orchestration tools

Write and optimize advanced SQL, and build data transformations in Python or Scala

Integrate external data sources via APIs and manage pipeline orchestration (Airflow, Databricks Workflows, AWS Glue)

Apply data quality, governance, cataloging, and lineage practices aligned with regulated-industry standards

Work within GxP-regulated data environments and apply awareness of data privacy/compliance considerations (e.g., 21 CFR Part 11, GDPR where applicable)

Partner with business stakeholders across the pharma value chain (R&D, Manufacturing & Quality, Commercial, Drug Development) to gather and translate requirements into technical specifications

Present technical work and data strategy to executive-level audiences

Prioritize high-impact data initiatives and proactively identify and avoid duplicated data efforts

Support change management and adoption of new data solutions across business teams. Help stand up new data domains from scratch (green-field build), not just maintain existing ones

Requirements

Required Qualifications
Data Engineering & Pipelines

  • Data Engineering & Pipelines
  • ETL/ELT development (batch and streaming)
  • Advanced SQL (joins, window functions, query optimization)
  • Python or Scala for data transformation
  • Data pipeline orchestration (Airflow, Databricks Workflows, AWS Glue)
  • API integration for external data source ingestion

Platforms & Tools

  • Databricks (Delta Lake, Unity Catalog, Genie)
  • Cloud platforms — AWS (S3, Glue, Athena) and/or Azure/Google Cloud Platform equivalents
  • Data warehousing concepts (dimensional modeling, star schema)
  • BI/visualization tools (Tableau, Power BI, or similar) to understand downstream consumption

Data Quality & Governance

  • Data profiling and cleansing techniques
  • Metadata management and data cataloging
  • Master data management (MDM) principles
  • Data lineage tracking
  • Data governance frameworks (especially regulated-industry standards)

Pharma / Life Sciences Domain Knowledge

  • Familiarity with GxP-regulated data environments
  • Understanding of the pharma value chain (R&D, Manufacturing & Quality, Commercial, Drug Development)
  • Awareness of data privacy/compliance considerations (21 CFR Part 11, GDPR where applicable)
  • Knowledge of common pharma data domains (clinical, manufacturing, quality, commercial)

Stakeholder Management

  • Requirements gathering and translation (business need → technical spec)
  • Cross-functional communication (Business ↔ IT)
  • Executive-level presentation skills (given EC visibility)
  • Change management / adoption support

Analytical & Strategic Thinking

  • Prioritization frameworks (identifying high-impact vs. low-value data asks)
  • Cost-avoidance mindset (spotting duplication before it happens)
  • Ability to work with ambiguity and evolving priorities

Project & Program Skills

  • Agile/Scrum familiarity
  • Documentation discipline (data dictionaries, source-to-target mappings)
  • Vendor/partner coordination (if external data sources are involved)

Nice-to-Have Differentiators

  • Prior consulting or client-facing delivery experience
  • Experience standing up new data domains from scratch (green-field vs. maintenance)
  • Familiarity with AI/GenAI-enabled analytics tools

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