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Data Engineer Data Jobs (NOW HIRING)

AceStack LLC

Azure Data Engineer (Data-bricks)

Dallas, TX

$113.70K - $136.60K/yr

Role- Azure Data Engineer (Data-bricks) Location: Dallas, TX- Onsite Contract (JD) typically involves designing, developing, and maintaining scalable data pipelines, ETL processes, and data solutions ...

Apolis

Senior Data Engineer

Phoenix, AZ

$60 - $65/hr

Senior Data Engineer Data Engineer Phoenix, AZ (Onsite) CTH role $60-65/Hour on W2 Senior Data Engineer that can Architect a Data Warehouse. * Snowflake * OneLake * MS Fabric Healthcare Data ...

Request Technology, LLC

Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Data Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications * Bachelor s degree * 3+ years of ...

Georgia IT Inc

Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Data Engineer - Data Catalog (Alation) Location: Chicago, IL (100% Remote) Duration: 6-12 Months Rate: DOE We are seeking an experienced Data Engineer with expertise in Alation for a 6-12 month ...

Cohere

Data Engineer, Data Foundations

Manhattan, NY · On-site +1

$126.20K - $151.60K/yr

We're training and deploying frontier models for developers and enterprises who are building AI ... As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions * Ingest and transform data from diverse sources (S3, RDS, DynamoDB ...

Cohere

Data Engineer, Data Foundations

New York, NY · On-site

$125.30K - $150.40K/yr

We're training and deploying frontier models for developers and enterprises who are building AI ... As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't ...

Vaco LLC

Data Engineer

Cranberry, PA · Hybrid

$113.40K - $136.20K/yr

Data Engineer / Data Scientist (Hybrid) Location: Pittsburgh, PA (Hybrid - 2-3 days onsite, office located just north of downtown) Employment Type: Full-Time, Direct Hire Overview We are seeking a ...

Data Ideology

Data Engineer

Pittsburgh, PA · Remote

$117.20K - $140.70K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data models by integrating multiple data sources while working with business and technical teams to ...

Cornerstone Defense

Data Engineer

Mclean, VA

$117.50K - $141.10K/yr

Data Engineer Data Engineer Tysons Corner, VA Active TS/SCI with Polygraph Company Overview: Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of ...

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How much do data engineer data jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data engineer data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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Data Engineer Data jobs near you
Data Engineer

Data Engineer

The University of Maryland Global Campus

Hyattsville, MD • Hybrid

$114.80K - $137.80K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Data Engineer
Data Strategy
US Exempt Regular
Full time
Stateside Exempt 4.2
Data Engineer
Data Strategy
Full-time, Exempt Regular, Pay Grade 4.2
Location: Hybrid
A skilled, hands-on Data Engineer responsible for designing, building, deploying, and operating enterprise data ingestion, transformation, and delivery pipelines within a Databricks Lakehouse environment. The role focuses on data integration and interoperability, enabling secure and reliable access to curated datasets for analytics, applications, and machine learning use cases.
Duties and Responsibilities:

  • Design, build, test, and operate scalable batch and streaming data ingestion and transformation pipelines using Databricks, Apache Spark, Delta Lake, Python, and SQL.
  • Implement data integration workflows that ingest and process data from diverse internal and external sources, including databases, files, REST APIs, and streaming platforms, in alignment with established architectural standards.
  • Develop, maintain, and document curated datasets and data products that support analytics, reporting, and downstream application and machine learning use cases.
  • Package, version, and deploy data pipelines using Databricks Asset Bundles, adhering to established CI/CD processes and environment promotion practices (development, test, production).
  • Apply data quality validation, monitoring, and observability controls to ensure data accuracy, pipeline reliability, and compliance with defined service-level objectives.
  • Implement and maintain access controls, authentication, and authorization using Unity Catalog in accordance with enterprise data governance and security requirements.
  • Monitor pipeline performance and resource utilization, perform routine tuning, and support incident resolution and root-cause analysis for production data workflows.
  • Collaborate with platform, analytics, and governance teams to clarify data requirements, resolve integration issues, and support data consumers.
Competencies:
  • Technical execution and problem solving
  • Attention to detail and data quality
  • Collaboration within cross-functional teams
  • Accountability for operational stability
Skills:
  • Databricks, Apache Spark, Delta Lake
  • SQL and Python
  • Batch and streaming ingestion patterns
  • Federated data access and APIs
  • Unity Catalog and governance
Education & Experience Requirements
Education:
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
Experience:
  • 5+ years of hands-on data engineering experience supporting production data pipelines.
Preferred Experience Requirements
Education:
  • Master's degree preferred.
Experience:
  • Large-scale governed data environments.
Certifications:
  • Databricks certifications preferred.
All submissions should include a cover letter and resume.
The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions.
Workplace Accommodations:
The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC's Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu.
Benefits Package Highlights:
  • Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 16 paid holidays (17 during general election years). For part-time employees, time off rates will be prorated based on the number of hours worked.
  • Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date.
  • Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD.
  • Flexible Spending Accounts: Available for medical and dependent care expenses.
  • Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).
  • Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds.
  • Tuition Remission: Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part-time employees (at least 50 percent of the time), tuition remission benefits are prorated.

Hiring Range:
$112,000.00 - $127,000.00

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