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Data Engineers Jobs (NOW HIRING)

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery ...

Data Engineering Manager

Chicago, IL · On-site

$165K - $185K/yr

We need someone assertive and confident enough to drive execution, hold engineers and consultants ... The Data Engineering Manager will lead a scrum team of data engineers in the design, development ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Tenet Employment, Inc. seeks Data Engineers in Dallas, TX. Req.: Bach. in Comp. Sci., Comp. Engr., IT, or related, or foreign equiv., and 2 yrs. of exp. Alt. Req .: Master's in Comp. Sci., Comp ...

Assists senior data engineers by creating training material for use in end-user training programs as well as development of team members Serves as a technical mentor to other Data Engineers.

Data Engineer (SQL / Databricks)

Irving, TX · On-site

$109K - $132K/yr

The ideal candidate will play a key role in building performant data models, supporting analytics and reporting needs, and collaborating with data engineers, analysts, and application teams in a ...

New

Data Engineer

Boron, CA · On-site

$108K - $148K/yr

Work with "fusion teams" - cross functional teams of data engineers, data scientists and third-party technology companies combined with end-users (operators, maintainers, supervisors, leaders ...

Data Engineer

California, MO · On-site

$108K - $148K/yr

Work with "fusion teams" - cross functional teams of data engineers, data scientists and third-party technology companies combined with end-users (operators, maintainers, supervisors, leaders ...

New

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... with Data Engineers, Analysts, and business stakeholders to translate business requirements into scalable data solutions and trusted datasets. • Experience working with retail, wholesale ...

$84K - $101K/yr

... Data Engineers #J-18808-Ljbffr

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

... data engineers and cross-functional teams ● Tech stack includes Airflow, Spark, Databricks, Delta Lake, Kubernetes and AWS ● Collaborate with product managers, architects, and other engineers to ...

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

... data engineers to contribute and grow professionally to become incredible data engineers over time. You will be tasked with managing the entire migration process from beginning to end, including ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

At G2M, data engineers don't simply move data--they build modern decision intelligence platforms that executives use to make critical business decisions. You'll work across cloud engineering ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... data engineers to contribute and grow professionally to become incredible data engineers over time. You will be tasked with managing the entire migration process from beginning to end, including ...

JTEC Consulting is actively hiring Data Scientists, Data Engineers, and Data Analysts to support critical mission requirements for an Intelligence Community (IC) customer in Northern Virginia. In ...

Showing results 41-60

Data Engineers information

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$44.5K

$129.7K

$177.5K

How much do data engineers jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data engineers 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 is the difference between Data Engineers vs Data Analysts?

AspectData EngineersData Analysts
Required CredentialsBachelor's in Computer Science, Engineering, or related field; often certifications in cloud platforms or data engineering toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentBuild and maintain data pipelines, work with big data technologies, often in cloud environmentsAnalyze data, create reports and dashboards, work with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerce; focus on data infrastructureMarketing, finance, retail, healthcare; focus on data insights for decision-making

Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to provide actionable insights. Both roles are essential but serve different functions within data teams.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role in the tech field.

What exactly does a data engineer do?

A data engineer designs, builds, and maintains the data pipelines and infrastructure that enable organizations to store, process, and analyze large volumes of data. They work with tools like SQL, Hadoop, Spark, and cloud platforms to ensure data is accessible, reliable, and secure for data scientists and analysts. Strong programming skills and knowledge of database systems are essential for this role.
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Infographic showing various Data Engineers job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Sr. Data Engineer (Snowflake)

Pittsburgh, PA • On-site, Remote

Data Ideology LLC
IT Services • 11 - 50 employees

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago


Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious. For more information about Data Ideology, visit www.dataideology.com.
Sr. Data Engineer - (Snowflake)
Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client-facing, consultative role that blends solution design with hands-on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.
This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high-quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role - your primary focus will be on technical execution, solution architecture, and delivery leadership.
Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.
  • Design and build scalable, secure, and cost-effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.
Supervisory Responsibilities: None
Qualifications:
Education and Experience:
  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client-facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.
Benefits:
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer