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Sr Data Engineer Jobs in Addison, IL (NOW HIRING)

Arrive Logistics

Senior Data Engineer

Chicago, IL · On-site

$150K - $187K/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 ...

84.51°

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)_ As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our ...

Epsilon

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 ...

84.51°

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)_ As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our ...

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

$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 ...

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 ...

fairlife

Senior Data Engineer

Chicago, IL

$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 ...

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 ...

NinjaTrader

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by providing the platform, tools, and infrastructure they need to deliver deployable ...

Above Lending, Inc.

Senior Data Engineer

Chicago, IL · On-site

$110 - $150/hr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems Engineer. This is a deeply hands‑on role. You'll spend the majority of your time writing SQL, building ...

Motion Recruitment

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

We are seeking a Senior Databricks Data Engineer to design, build, and optimize enterprise-scale data solutions using Databricks, Azure, PySpark, Delta Lake, SQL, and modern cloud technologies. This ...

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All JobsSr Data Engineer JobsSr Data Engineer Jobs in Addison, IL

Sr Data Engineer information

See Addison, IL salary details

$81.2K

$126.6K

$175.3K

How much do sr data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for sr data engineer in Addison, IL is $126,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $144,300.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Addison, IL?

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The top searched job categories for Sr Data Engineer jobs in Addison, IL are:

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Cities near Addison, IL with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you

Senior Data Engineer

Arrive Logistics

Chicago, IL • On-site

$150K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 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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