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Senior Data Engineer Jobs in Fishers, IN (NOW HIRING)

NAVA Software Solutions

Sr Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

NAVA Software solutions is looking for a Sr Data Architect Details: Sr Data Architect Location: Hybrid - Indianapolis, IN / Remote also ok Duration: 6-12 months As the Senior Data Architect, you will

Allegion

Senior Data Platform Engineer

Carmel, IN

$67.25 - $89.75/hr

Creating Peace of Mind by Pioneering Safety and Security At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+

Allegion

Senior Data Platform Engineer

Carmel, IN · On-site

$67.25 - $89.75/hr

Creating Peace of Mind by Pioneering Safety and Security At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

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

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

As an employee-owned company, DMA prioritizes employees. Low turnover rates and tenured teams are living proof: * 2025 Great Places to Work Certified * Employee stock ownership program eligibility

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

ABOUT ORGANOX: OrganOx is a commercial stage organ technology company dedicated to developing technologies to improve outcomes for patients with acute or chronic organ failure. The company was

RADcube

AWS Data Engineer Databricks

Indianapolis, IN · On-site

$109K - $131K/yr

Job Title: Senior AWS Data Engineer Location: Indianapolis, IN Role Overview We are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization initiative . This role

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Fishers, IN

Senior Data Engineer information

See Fishers, IN salary details

$75.8K

$118.2K

$163.8K

How much do senior data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data engineer in Fishers, IN is $118,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Fishers, IN? The most popular types of Data Engineer jobs in Fishers, IN are:
What job categories do people searching Senior Data Engineer jobs in Fishers, IN look for? The top searched job categories for Senior Data Engineer jobs in Fishers, IN are:
What cities near Fishers, IN are hiring for Senior Data Engineer jobs? Cities near Fishers, IN with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Fishers, IN as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,244 per year, or $56.8 per hour.

Sr. Data Platform Engineer

PeopleSuite Talent Solutions

Indianapolis, IN • On-site

$150K - $180K/yr

Full-time

Re-posted 19 days ago

Job description

Scope of Position


Our Client is seeking a Senior Data Platform Engineer to serve as the technical authority for our Operational Data Hub within the Global Data & Analytics team. In this role, you will architect and lead the design, implementation, and optimization of enterprise-scale data ingestion, transformation, and integration solutions that power critical business operations.


As a senior technical contributor, you will own the Data Hub architecture, establish engineering standards, and drive innovation across our data platform ecosystem. You'll work closely with Data Architects, Lead Engineers, and business stakeholders to deliver scalable, reliable, and high-performing data solutions while mentoring fellow engineers and influencing technical strategy.


This role is ideal for a hands-on data engineering leader who enjoys solving complex technical challenges, shaping platform direction, and building modern cloud-based data capabilities.


Responsibilities


Data Platform Architecture & Engineering

  • Own the architecture, design, and evolution of the Operational Data Hub and its supporting processes.
  • Design and implement scalable data ingestion, transformation, orchestration, and transmission frameworks.
  • Establish technical standards, best practices, and reusable patterns for pipeline development, monitoring, error handling, and operational excellence.
  • Architect and optimize event-driven, real-time, and batch data processing solutions.
  • Lead technical design reviews and make key architectural decisions related to integrations, processing frameworks, and platform capabilities.
  • Evaluate emerging technologies and recommend innovative solutions to enhance platform performance and scalability.

Enterprise Data & Integration

  • Partner closely with Data Architects to align platform capabilities with enterprise data models and business requirements.
  • Provide technical expertise on data structures, processing efficiency, transformation complexity, and integration strategies.
  • Design and implement robust integrations across ERP systems, APIs, and enterprise applications.
  • Build advanced data transformation and enrichment capabilities that support enterprise analytics and operational workflows.

Reliability, Governance & Optimization

  • Establish data quality, validation, testing, and monitoring frameworks to ensure trusted and reliable data.
  • Implement governance, security, compliance, and operational controls across data processing workflows.
  • Drive platform performance tuning, scalability improvements, and cloud cost optimization initiatives.
  • Lead production support efforts, including incident resolution, root cause analysis, and post-incident reviews.
  • Develop comprehensive technical documentation, architecture guides, operational runbooks, and knowledge resources.

Leadership & Mentorship

  • Serve as the go-to technical expert for Data Hub architecture and engineering practices.
  • Mentor and guide Data Platform Engineers on architecture, development standards, and operational best practices.
  • Collaborate across engineering, architecture, and business teams to drive successful delivery of strategic initiatives.
  • Influence technical direction through thought leadership, knowledge sharing, and continuous improvement.


Qualifications


Required Experience

  • 5+ years of experience designing and delivering enterprise data platforms, data hubs, or large-scale data processing solutions.
  • Proven expertise building and owning modern data pipeline architectures, including real-time, event-driven, and batch processing patterns.
  • Deep experience with cloud-native data solutions, preferably within the Microsoft Azure ecosystem.
  • Advanced experience designing and optimizing Azure SQL Database or similar relational data platforms.
  • Strong expertise in Azure Function Apps, serverless computing, or comparable cloud-based processing frameworks.
  • Expert-level SQL skills with a demonstrated ability to optimize performance and support data modeling initiatives.
  • Experience integrating data across ERP systems, APIs, and enterprise applications.
  • Strong understanding of enterprise data architecture principles and modern data platform design.
  • Experience implementing CI/CD pipelines, Infrastructure as Code (IaC), and automated deployment practices.
  • Proven success troubleshooting complex production issues and improving platform reliability and performance.
  • Experience implementing security, governance, compliance, and operational controls within enterprise data environments.

Preferred Qualifications

  • Experience with Azure Data Lake, Azure Synapse Analytics, or similar modern data platform technologies.
  • Knowledge of DataOps, DevOps, observability, monitoring, and operational excellence practices.
  • Experience optimizing cloud infrastructure and managing data platform costs at scale.
  • Prior experience mentoring engineers and leading technical initiatives across cross-functional teams.

Education

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.