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

Arrive Logistics

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Omnicom

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS ...

Omnicom

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

Who We're Looking For We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You'll build and optimize our modern data platform, lead a ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

Who We're Looking For We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You'll build and optimize our modern data platform, lead a ...

fairlife

Senior Data Engineer

Chicago, IL · On-site

$10K/mo

The Sr. Data Engineer will play a key role in delivering fairlife's ambition of building a best-in-class Decision Intelligence (DI) ecosystem. This role designs, builds, and operates the pipelines ...

Epsilon

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at scale and ...

Publicis Groupe Holdings B.V

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at scale and ...

Publicis Groupe Holdings B.V

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at scale and ...

fairlife

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

The Sr. Data Engineer will play a key role in delivering fairlife's ambition of building a best-in-class Decision Intelligence (DI) ecosystem. This role designs, builds, and operates the pipelines ...

Hopscotch Primary Care

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer (remote) to own and evolve the backbone of our data platform. This role is for a hands-on builder who thrives at the intersection of data ...

fairlife

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

The Sr. Data Engineer will play a key role in delivering fairlife's ambition of building a best-in-class Decision Intelligence (DI) ecosystem. This role designs, builds, and operates the pipelines ...

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Hybrid At least 2 days per week in office in Chicago, IL Our client seeks a Senior Data Engineer to design, build, and operate large-scale data processing for attribution, measurement, forecasting ...

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Hybrid At least 2 days per week in office in Chicago, IL Our client seeks a Senior Data Engineer to design, build, and operate large-scale data processing for attribution, measurement, forecasting ...

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Showing results 21-40

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

Senior Data Engineer information

See Gary, IN salary details

$80.6K

$125.7K

$174.1K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data engineer in Gary, IN is $125,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $143,300.00 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 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.

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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Gary, IN?

The most popular types of Data Engineer jobs in Gary, IN are:

What job categories do people searching Senior Data Engineer jobs in Gary, IN look for?

The top searched job categories for Senior Data Engineer jobs in Gary, IN are:

What cities near Gary, IN are hiring for Senior Data Engineer jobs?

Cities near Gary, IN with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Gary, 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 $125,708 per year, or $60.4 per hour.

Senior Data Engineer

Arrive Logistics

Chicago, IL • On-site

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Arrive Logistics rating

5.5

Company rating: 5.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Who We Are
Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we're building together. We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.
Who We Want
As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work alongside Data, Engineering, and IT specialists to define and deploy new data infrastructure and tooling as well as own the pipelines that ingest and transform data integral to our analytics, BI, and data science initiatives. This position is an experienced professional who provides technical leadership to the team of data engineers and will directly influence how Arrive leverages its most valuable asset, data.
What You'll Do
  • Design, build, and optimize robust, scalable, and reliable data pipelines to ingest and process data from a wide variety of sources.
  • Develop and maintain our data warehousing solutions (e.g. Snowflake), including maintenance of an advanced RBAC model to ensure data governance throughout all data tooling.
  • Ensure data quality and integrity by implementing data validation frameworks, monitoring systems, and anomaly detection protocols.
  • Architect and manage cloud-based data infrastructure.
  • Orchestrate batch machine learning pipelines. Work closely with data scientists to orchestrate code based on data science and product requirements, getting alignment on optimizations when necessary.
  • Collaborate with stakeholders, including data scientists, analysts, and product managers to understand data requirements and deliver actionable solutions.
  • Improve performance, efficiency and optimize cost of existing data systems and processes.
  • Work alongside Data and Engineering leadership to weigh tradeoffs in build vs buy decisions and tradeoffs in product roadmap vs technical initiatives.
  • Work with internal software engineering teams to define architectures and best practices for ingesting data into the data warehouse and making aggregated data and metrics from the data warehouse available to our production applications.
  • Interact with vendors to craft the adoption of new technology and infrastructure for the team.
  • Designs, develops, and evaluates AI agents and reusable skill libraries to drive developer productivity and automate team workflows - including prompt engineering, tool integration, and performance evaluation using platforms such as Snowflake Cortex AI and LangGraph.
  • Architects and governs secure integrations between enterprise AI tools (Claude, Cursor, Gemini, Slack, etc.) and the data warehouse, ensuring data access controls, auditability, and compliance standards are maintained across the AI toolchain.
  • Take part in an on-call rotation. Work with Engineering leadership to define SLAs and alerting policies for our systems.
  • Lead and participate in incident management, ensuring clear and timely communication with stakeholders.
  • Write new and enhance existing technical and functional documentation on Data Engineering-owned systems and standards. Proactively address gaps in existing team standards, SLAs, operating principles, and documentation and work with leadership to scope and implement improvements in these areas.
  • Be a leader, mentor, and subject matter expert for the team, stakeholders, and peers. Foster a collaborative environment that drives solutions forward at a larger scope.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field or equivalent professional experience.
  • 5+ years experience in data engineering.
  • Expert proficiency in SQL and strong programming skills in Python.
  • Proven experience building and orchestrating data pipelines using dbt and Airflow
  • Hands-on experience developing data solutions in a major cloud environment, with a strong preference for Microsoft Azure.
  • Solid understanding of BI-tooling integrations with a cloud data warehouse, with a strong preference for PowerBI
  • Solid understanding of event-driven architecture and the use of messaging systems like Kafka to enable real-time data flow.
  • Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.
  • Familiarity with CI/CD, microservice architecture, domain driven design, data contracts
  • Solid understanding with best practices around data security/privacy, role-based access control
  • Experience with machine learning concepts, frameworks, and infrastructure
  • Excellent written and oral communication and presentation skills

The Perks of Working With Us
  • Take advantage of excellent benefits, including medical, dental, vision, life, and disability coverage.
  • Invest in your future with our matching 401(k) program.
  • Build relationships and take part in learning opportunities through our Employee Resource Groups.
  • Enjoy office wide engagement activities, team events, happy hours and more!
  • Leave the suit and tie at home; our dress code is casual.
  • Work in the heart of downtown Chicago, IL!
  • There are CTA and L train stops walking distance from the office and you can store your bike safely inside of the building.
  • Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.
  • Maximize your wellness with free counseling sessions through our Employee Assistance Program
  • Get paid to work with your friends through our Referral Program!
  • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.
  • Receive 100% paid parental leave when you become a new parent.
  • Get relocation assistance! If you are not local to the area, we offer relocation packages.

$150,000 - $187,000 a year
The base salary range for this position is $150,000 - $187,000, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training.
Your Arrive Experience
When we say "award-winning culture," we mean it. We've been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we're not in it for the trophies. We're committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive's walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.
Notice:
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact [email protected] for verification.

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