ZipRecruiter

Log In

1

Director Data Engineering Jobs in Gary, IN (NOW HIRING)

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering ... Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · On-site +1

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering ... Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering ... Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into ...

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into ...

previous page

Showing results 41-60

All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Gary, IN

Director Data Engineering information

See Gary, IN salary details

$72.6K

$193.8K

$252.8K

How much do director data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director data engineering in Gary, IN is $193,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,800.00 and $251,800.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are popular job titles related to Director Data Engineering jobs in Gary, IN?

For Director Data Engineering jobs in Gary, IN, the most frequently searched job titles are:

What job categories do people searching Director Data Engineering jobs in Gary, IN look for?

The top searched job categories for Director Data Engineering jobs in Gary, IN are:

What cities near Gary, IN are hiring for Director Data Engineering jobs?

Cities near Gary, IN with the most Director Data Engineering job openings:

Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Gary, IN as of June 2026, with employment types broken down into 2% As Needed, 76% Full Time, 15% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $193,753 per year, or $93.2 per hour.

Data Engineering Lead (Hybrid)

Rewards Network

Chicago, IL • Hybrid

$105K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

About Rewards Network 

For 41 years, Rewards Network has been helping restaurants grow revenue, increase traffic, and boost customer engagement through innovative financial, marketing services, and premier dining rewards programs. By offering unique card-linked offers, we introduce diners to fantastic restaurant experiences, leveraging advanced technology and data analytics to deliver value to restaurants, diners, and our strategic partners' loyalty programs. 

Our Culture 

At Rewards Network, you'll be part of a driven and diverse team that excels in collaboration, issue resolution, and taking ownership of both personal growth and the company's success. We take pride in partnering with the world's most powerful loyalty programs to drive full-price paying customers to local restaurants through marketing services and flexible funding options. Our engaging and rewarding environment is designed to help you gain your full potential. 

Job Overview

The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data science functions. The team is mid-migration -actively building on a modern stack- and this role exists to ensure disciplined execution, enforce architectural clarity and consistency.  

The right person is a hands-on player-coach that is comfortable building teams as we invest in building out this competency as a core pillar of our long-term competitive advantage and strategy. That means assessing the current in-flight build and making deliberate decisions about what to keep and what to replace. Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks.   

This is a hybrid position that requires in office presence 3 days a week (Tuesday-Thursday) in Chicago. 

What you'll bring to the table: (Responsibilities)
  • Establish and enforce architecture standards that ensure consistent designs that produce repeatable results.  
  • Assess the current state of our data infrastructure - evaluate what needs refactoring, and what should be replaced - then execute on that plan with the team. 
  • Lead the continued build-out of the modern data stack, including ELT pipelines, stream ingestion, transformation logic along with storage and compute - serving as the technical authority when the team needs a decision made. 
  • Hire and develop data engineering talent, grow the team with engineers experienced in modern ELT architectures and develop the existing team members through mentorship, code review, and technical leadership. 
  • Define and maintain the data model RFC process, reviewing proposed changes, enforcing boundary discipline, and ensuring no undocumented changes promote to canonical layers. 
  • Directly lead the data science team, setting priorities, managing workstreams, and translating business problems into clearly scoped DS projects - fostering a culture of accountability, technical rigor, and continuous improvement. 
  • Own data pipeline monitoring and observability, ensuring production pipelines have appropriate alerting, data quality checks, and incident response processes so failures are caught early and resolved quickly. 
  • Provide regular visibility into team progress, architectural decisions, and risks to senior leadership, communicating tradeoffs clearly and escalating when business commitments are at risk. 
Do you have the right mix of ingredients: (Requirements)
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 
  • 6-10 years of experience in data engineering or a closely related discipline 
  • 2+ years in a technical lead or staff-level individual contributor role 
  • Familiarity with data science workflows, ML model lifecycle, and MLOps concepts 
  • Expertise in data engineering - including model design, testing strategy, incremental patterns, and layer boundary governance
  • Experience designing and enforcing data modeling standards in a team environment - not just building models, but establishing the patterns others follow 
  • Demonstrated ability to bring a team along technically - through code review, documentation, mentorship, and setting standards that stick 
  • Familiarity with CI/CD for data pipelines (GitLab or equivalent) - including automated testing, deployment workflows, and environment promotion strategies 
  • Experience with data observability and monitoring - alerting on pipeline failures, data quality degradation, and freshness SLAs (familiarity with tools like Elementary, Monte Carlo, or equivalent) 
  • Strong decision-making under ambiguity - this role requires someone who can move forward with incomplete information and course-correct, not someone who needs consensus to proceed 
  • Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders 
  • Technical expertise in: Python, Apache Airflow, Apache Kafka, cloud data warehouses (Redshift, GBQ, Databricks)  

Education, Certifications and Experience: Preferred 

  • Advanced degree in a technical field 
  • Experience at a company that has completed a similar legacy-to-modern warehouse migration 
  • Prior experience managing or mentoring data engineers 
What you'll love about us: 

Comprehensive benefits package, which includes:

  • This is a full-time, exempt position. The base salary range for this role in Chicago is $190,000-$220,000 annually, depending on candidate's experience, as well as skills, and other factors. This role is also eligible for an annual bonus target of 15%, bringing total target compensation to $218,500-$253,000.
  • Competitive Time Off Benefits: including flexible PTO, 11 company holidays, and parental leave. 
  • Generous dining reimbursement when you dine with our restaurant clients 
  • 401(k) plan with a company match
  • Two medical plan options- Standard PPO or High Deductible Health Plan (HSA with company match for HDHP participants)
  • Partnership with Rx n Go, offering certain prescriptions for free
  • Two dental plan options and a vision plan
  • Flexible Spending Accounts and a pre-tax commuter benefit program
  • Accident, Critical Illness, and Hospital Indemnity Insurance Plans
  • Short Term and Long Term disability 
  • Company-paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insurance 
  • Employee Life Assistance Program
  • Hybrid working environment in a new office space downtown near the Metra Train stations and catered lunches on Tuesdays. 

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

Apply