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Data Engineer Hybrid Jobs (NOW HIRING)

ICF

Data Engineer, Hybrid

Washington, DC

$129.70K - $155.70K/yr

... in data engineering best practices, including data pipelines, transformation, and data quality. Location This is a hybrid role which may require occasional travel to the DC Metro area for onsite ...

ICF

Data Engineer, Hybrid

Bethesda, MD

$122.50K - $147.20K/yr

... in data engineering best practices, including data pipelines, transformation, and data quality. Location This is a hybrid role which may require occasional travel to the DC Metro area for onsite ...

ICF International, Inc.

Data Engineer, Hybrid

Reston, VA · On-site

$119.10K - $143K/yr

... in data engineering best practices, including data pipelines, transformation, and data quality. Location This is a hybrid role which may require occasional travel to the DC Metro area for onsite ...

ICF

Data Engineer, Hybrid

Reston, VA

$119.10K - $143K/yr

... in data engineering best practices, including data pipelines, transformation, and data quality. Location This is a hybrid role which may require occasional travel to the DC Metro area for onsite ...

CEDENT

Data Engineer - Hybrid

Newark, NJ · Hybrid

$119.70K - $143.80K/yr

Looking for data engineers with 9+ years of experience. 1. Experience developing and deploying application code using SQL, Python, spark. 2. 3 to 5 years' experience developing and deploying data ...

TriOptus LLC

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer (Hybrid) Location: Alpharetta, Georgia (Hybrid Role) Employment Type: Contract-to-Hire (CTH) MOR2JP00017198 We are seeking a highly skilled and experienced Data Engineer to join our ...

SmartIPlace

Big Data Engineer[Hybrid]

Dallas, TX · On-site

$55.25 - $73/hr

Big Data Engineer Location: Temple Terrace, FL / Irving, Dallas TX / Alpharetta, GA (Hybrid - 3 Days in a Week Onsite) Duration: 12+ Months Interview: Video

Qualis1 Inc

Data Engineer : Hybrid Role

Washington, DC · On-site

$129.70K - $155.70K/yr

Data Engineer Location: Washington, DC, (Hybrid) Duration: 6+ months Description: Responsibilities * Function as the lead Google data team point of contact to support NOTAM data platform * Be highly ...

SmartIPlace

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106.90K - $128.40K/yr

Title: Sr. Data Engineer Duration: 12+ month Contract - Hybrid (3 days on site) Location: Orlando FL Preferred Responsibilities / What You Will Do * Plan and lead research and development for ...

SmartIPlace

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL · On-site

$106.90K - $128.40K/yr

Title: Data Engineer- W2 ROLE Duration: 12-month contract, can extend to 24 months Role Type: Hybrid, 3 days onsite, 2 remote Interview: Video Visa: USC or GC only Location: Orlando, Fl Client:

SmartIPlace

Data Engineer[Hybrid-remote]

Harrisburg, PA · On-site

$113K - $135.70K/yr

(Data Engineer) Location: Harrisburg, PA Visa: Any visa except CPT, TN and GC (PP number is mandatory to fetch I94) Interview Type: webcam interview Local candidates only DCED seeks a mid-level Data ...

The Hartford

Sr. Data Engineer - Hybrid

Hartford, CT · Hybrid

$106.90K - $145.30K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... This role will have a Hybrid work schedule, with the expectation of working in an office location ...

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Data Engineer Hybrid information

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$44.5K

$129.7K

$177.5K

How much do data engineer hybrid jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer hybrid in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer Hybrid, and why are they important?

To thrive as a Data Engineer Hybrid, you need strong programming skills (such as Python or Java), expertise in database management, and a solid understanding of data architecture and ETL processes, usually backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), data warehousing tools (such as Snowflake or Redshift), and certifications in big data or cloud technologies are highly valuable. Analytical thinking, problem-solving, and effective communication help you collaborate across teams and translate business needs into technical solutions. These skills are crucial for building scalable, reliable data pipelines that support organizational decision-making and data-driven strategy.

How does working in a hybrid Data Engineer role impact team collaboration and project delivery?

In a hybrid Data Engineer role, team collaboration often involves a mix of remote and in-person interactions, which can enhance flexibility but also requires clear communication and effective use of collaboration tools. Data Engineers typically coordinate closely with data scientists, analysts, and IT teams to design and maintain data pipelines, regardless of work location. Project delivery may require scheduled on-site meetings for brainstorming or troubleshooting, but much of the individual development work can be completed remotely. Adapting to this environment means being proactive in communication and leveraging project management platforms to ensure alignment and timely delivery.

What is a Data Engineer Hybrid?

A Data Engineer Hybrid is a professional who designs, builds, and manages data infrastructure, and works both on-site and remotely. They are responsible for creating data pipelines, maintaining databases, and ensuring data quality and accessibility for analytics or business needs. The 'hybrid' aspect refers to their flexible work environment, combining office and remote work. Data Engineer Hybrids often collaborate closely with data scientists, analysts, and other IT professionals to enable effective data-driven decision-making.
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Data Engineer Hybrid jobs near you
Infographic showing various Data Engineer Hybrid job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, 38% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Sr. Data Engineer (Hybrid)

Sr. Data Engineer (Hybrid)

American Medical Association

Chicago, IL • On-site

$109.20K - $148.30K/yr

Full-time

Posted 24 days ago

Job description

Sr. Data Engineer (Hybrid)
Chicago, IL
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.
We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.
As a Sr. Data Engineer, you will play a key role in implementingand maintaining AMA's enterprise data platform to support analytics,interoperability, and responsible AI adoption. This role partners closely withplatform engineering, data governance, data science, IT security, and businessstakeholders to deliver high-quality, reliable, and secure data products. Thisrole contributes to AMA's modern lakehouse architecture, optimizing dataoperations, and embedding governance and quality standards into engineeringworkflows. This role serves as asenior technical contributor within the team-providing mentorship to juniorengineers and implementing engineering best practices within the data platform function,in alignment with architectural direction set by leadership.
RESPONSIBILITIES:
Data Engineering & AI Enablement
  • Build and maintain scalable data pipelines andETL/ELT workflows supporting analytics, operational reporting, and AI/ML usecases.
  • Implement best practice patterns for ingestion,transformation, modeling, and orchestration within a modern lakehouseenvironment (e.g., Databricks, Delta Lake, Azure Data Lake).
  • Develop high-performancedata models and curated datasets with strong attention to quality, usability,and interoperability; create reusable engineering components and automation.
  • Collaborate with the Architecture Team, the DataPlatform Lead, and federated IT teams to optimize storage, compute, andarchitectural patterns for performance and cost-efficiency.
  • Build model-ready data sets and featurepipelines to support AI/ ML use cases; serve as a technical coordination pointsupporting business units' AI-related infrastructure needs.
  • Collaborate with data scientists and AI WorkingGroup to operationalize models responsibly and maintain ongoing monitoringsignals.

Governance, Quality & Compliance
  • Embed data governance, metadata standards,lineage tracking, and quality controls directly into engineering workflows;ensure technical implementation and alignment within engineering workflows.
  • Work with the Data Governance Lead and businessstakeholders to operationalize stewardship, classification, validation,retention, and access standards.
  • Implement privacy-by-design and security-by-designprinciples, ensuring compliance with internal policies and regulatoryobligations.
  • Maintain documentation for pipelines, datasets,and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization
  • Monitor and troubleshoot pipeline failures,performance bottlenecks, data anomalies, and platform-level issues.
  • Implement observability tooling, alerts,logging, and dashboards to ensure end-to-end reliability.
  • Support cost governance by optimizing computeresources, refining job schedules, and advising on efficient architecture.
  • Collaborate with the Data Platform Lead onscaling, configuration management, CI/CD pipelines, and environment management.
  • Collaborate with business units to understanddata needs, translate them into engineering requirements, and deliverfit-for-purpose data solutions; share and apply best practices and emergingtechnologies within assigned initiatives.
  • Work with IT Security and Legal/ Compliance toensure platform and datasets meet risk and regulatory standards.

Staff Management
  • Lead, mentor, and provide management oversightfor staff.
  • Responsible for setting objectives, evaluatingemployee performance, and fostering a collaborative team environment.
  • Responsible for developing staff knowledge andskills to support career development.

May include other responsibilities as assigned
REQUIREMENTS:
  1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
  2. 5+ years of experience in data engineering within cloud environments
  3. Experience in people management preferred.
  4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
  5. Proficiency in Python, SQL, and datatransformation frameworks.
  6. Experience designing and operationalizingETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), andCI/CD processes.
  7. Solid understanding of data modeling,structured/unstructured data patterns, and schema design.
  8. Experience implementing governance and qualitycontrols: metadata, lineage, validation, stewardship workflows.
  9. Working knowledge of cloud architecture, IAM,networking, and security best practices.
  10. Demonstrated ability to collaborate acrosstechnical and business teams.
  11. Exposure to AI/ML engineering concepts, featurestores, model monitoring, or MLOps patterns.
  12. Experience with infrastructure-as-code(Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.
This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.
We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.
THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION
American Medical Association logo

About American Medical Association

Sourced by ZipRecruiter

Founded in 1847, the American Medical Association (AMA) is the largest and only national association that convenes 190+ state and specialty medical societies and other critical stakeholders. Throughout history, the AMA has always followed its mission: to promote the art and science of medicine and the betterment of public health. As the physicians’ powerful ally in patient care, the AMA delivers on this mission by representing physicians with a unified voice in courts and legislative bodies across the nation, removing obstacles that interfere with patient care, leading the charge to prevent chronic disease and confront public health crises, and driving the future of medicine to tackle the biggest challenges in health care and training the leaders of tomorrow.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

Year founded

1847

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