Graebel Companies, Inc. logo

Data Engineer

Graebel Companies, Inc.

Remote · USJob$105–120K/yrSeen todaySeen in employer's feed today

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$105–120K/yr
Location
Remote · US
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data Engineer designs and implements projects that consolidate data from multiple sources to support routine and ad-hoc analysis and data-driven decisions. The role develops enterprise data solutions and modern data pipelines, prepares and governs data for analytics and AI use cases, and supports business partners. It is based remotely in the US and requires eligibility to work in the US without current or future sponsorship.

Skills & qualifications

RequiredNice to have

Skills

Data EngineeringAzure DatabricksAI-Ready Data SolutionsAgile DevelopmentDevOpsGitTSQLANSI SQLPython

Qualifications

5+ Years Data Engineering Experience4+ Years Azure Databricks Experience

Benefits

401(k) Match
Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off

Full job description

This role is based remotely in the US. Candidates must be eligible to work in the US without sponsorship now or in the future.

Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world. They’re innovators and leaders in their industries, making life-enhancing breakthroughs every day. We help them tap into those opportunities by placing their exceptional people where they need to be, anywhere in the world. When it comes to service, we set the bar for exceptional … and then we raise it with fresh ideas, leading tools and innovative approaches, and it’s all grounded in our values of truth, love, and integrity. We call it People-first Mobility. We’re looking for exceptional people who share those values along with our passion for delivering the highest levels of service. If that sounds like you, and if you’re ready for a new career opportunity, we’d like to hear from you! Here’s to the world ahead.

As a Data Engineer, you play a vital role in our commitment to data-driven decision-making. Your responsibilities involve designing and implementing projects that consolidate data from various sources, facilitating analysis and informed decision-making. Your primary focus is ensuring that data is easily accessible and user-friendly, allowing for both routine and ad-hoc analysis.

We are committed to fair and transparent compensation. The salary range for this role is based on several factors including experience, skills, and qualifications and is $105,000 to $120,000.

Essential Duties and Responsibilities

  • Collaborate with colleagues and clients to provide the necessary tools for routine and non-routine data analysis.

  • Accelerating all efforts through leveraging AI

  • Translate business requirements into technical solutions, drawing on your strong business acumen.

  • Analyze current business practices, processes, and procedures to identify future opportunities.

  • Assess client needs to create customized data design services.

  • Offer exceptional support to our business partners.

  • Develop the foundational components for evolving enterprise data solutions.

  • Architect and construct modern data pipelines.

  • Implement effective metrics and monitoring systems.

  • Make independent decisions and provide guidance to your peers.

  • Create and promote technical best practices for modeling and report design.

  • Perform any other related duties as required or assigned.

Required Skills

  • 5+ years of experience in data engineering.

  • 4+ years of hands-on experience with Azure Databricks

  • Experience supporting AI-ready data solutions, including preparing, transforming, and governing data for analytics, machine learning, and generative AI use cases.

  • Proficiency in agile development methodologies, including DevOps concepts.

  • Proficiency in version control platforms like Git.

  • Mastery of TSQL and ANSI SQL

  • Strong understanding and capability in Python for data-related tasks and integration.

As a testament to our commitment to diversity, equity, inclusion, and belonging, our salary bands are transparent both internally and as a part of our external recruitment process. The targets for this role are dependent on market/ geographic location and range from $105,000-$120,000 USD.

At Graebel, where we truly value the exceptional contributions of our dedicated team—yes, that means YOU—we’ve crafted a benefits package with your success in mind. Enjoy a comprehensive benefits package including a 401(k) plan, top notch health insurance (covering medical, dental, and vision), and find support through our Employee Assistance Program. Enjoy well-earned breaks with paid time off that grows with your years of service to the company, paid holidays each year, and volunteer paid time off! Secure your future with life insurance and disability coverage. Join us to elevate your work life experience!

Graebel Companies, Inc. is an EEO/AA Employer M/F/Disabled/Vet

Required Experience

How this job compares

Set against the 5,986 open Data Engineer jobs on Olive Jobs, counted October 28, 2026.

Pay
  • This posting$105–120K/yr
  • US median$125–208K/yr4,649 salary ranges

This range's midpoint, $113K, is 33% below the US median midpoint ($167K) — in the lowest quarter of Data Engineer salary ranges across the US.

Openings
Olive Jobs lists 5,986 open Data Engineer jobs across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,202 postings).
Education
2,752 of the 5,986 open Data Engineer jobs (46%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.