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Data Engineer Data Jobs (NOW HIRING)

Data Engineer

Pittsburgh, PA · Remote

$117K - $140K/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 ...

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/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 ...

Data Engineer

$117K - $140K/yr

Data Engineer - Data Catalog (Alation) We are seeking an experienced Data Engineer with expertise in Alation for a 6-12 month contract. This is a fully remote position, offering an excellent ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/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 ...

Big Data Engineer

New York, NY · On-site

$61 - $80.75/hr

Big Data Engineer Employer: NGDATA US INC Location: New York, New York NGDATA US INC seeks a Big Data Engineer to perform the following duties: * 20% of the time: Own customer engagements complete ...

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Jenkins, Snowflake, Databricks, AWS, Lead software engineer/data engineer with experience in popular data tools such as Databricks and Snowflake. Have the ability to read and understand code in Scala ...

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 ...

Data Engineer

Herndon, VA · Remote

$117K - $140K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Data Engineer, Data Foundations

New York, NY · On-site

$125K - $150K/yr

Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their ... As a Data Engineer, you will: * Work directly on new customer experiences built on one of the most ...

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/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 ...

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Data Engineer Data information

See salary details

$46K

$165K

$243.5K

How much do data engineer data jobs pay per year?

As of Jun 24, 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 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 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.

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 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.
More about Data Engineer Data jobs
What cities are hiring for Data Engineer Data jobs? Cities with the most Data Engineer Data job openings:
What states have the most Data Engineer Data jobs? States with the most job openings for Data Engineer Data jobs include:
Infographic showing various Data Engineer Data job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 92% Full Time, 1% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer, Data & Analytics

Cast and Crew LLC

Charleston, WV

$106K - $127K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago


Job description

About Us

At Cast & Crew, we've empowered creativity and supported the global entertainment industry for decades. Together with our family of brands - Backstage, CAPS, Checks & Balances, Final Draft, Media Services, Sargent-Disc, and The TEAM Companies - we operate as a combined entertainment technology and services provider offering industry standard screenwriting accounting software, digital payroll products, data & reporting, and a host of creative tools. The industry continues to move faster than ever, and the need for our expertise, our technology, and our people has never been greater. We are a production's best ally every step of the way.#OneCastOneCrew

Backstage is seeking a Data Engineer to help build and evolve the data foundation that supports many aspects of our business - enabling intelligent customer interactions, powering customer-facing products, and driving insights for fast-moving teams across the company.
You will join our Data & Analytics team, which currently includes two Data Engineers, a Data Scientist, a Data Analyst and a Director, and sits within the larger Product & Engineering department of high-performance engineers, designers, product managers, analysts, and QA specialists. We value curiosity, trust, and impact, and we foster a culture of constant learning and improvement where teammates work together to accomplish user-focused initiatives in a supportive, open, and respectful environment. Our teams are experienced, nimble, collaborative, and considerate, and we actively create opportunities for everyone to learn and build new skills.
Backstage's Data team has strategically built a data foundation that supports many aspects of the business. As a Data Engineer, you'll play a key role in maintaining and expanding this foundation with an unwavering commitment to data quality, consistency, and scalability. You'll not only answer business questions but also design durable data solutions that grow with the company's needs.
You'll own major parts of Backstage's analytics data stack and partner closely with the BI, marketing, and product teams. You'll transform complex, raw data from multiple systems into clean, meaningful models that drive actionable insight across a growing global organization. This role requires top-tier SQL capabilities - someone skilled at writing advanced queries with layered business logic and translating ambiguous requirements into structured, reusable datasets.
You'll report to Backstage's Director of Data and Analytics, and work cross-functionally to build sustainable, future-proof data infrastructure for marketing attribution, customer analytics, and operational reporting.What You'll Do
  • Build, maintain, and optimize ETL pipelines that integrate and transform data from varied first- and third-party sources into analytics-ready models.

  • Work with both structured data (e.g., relational tables) and unstructured event data (e.g., clickstream, telemetry) to create coherent, user-level datasets and customer journeys.

  • Partner with analytics, finance, marketing, and product teams to design data models that reflect real business logic and connect customer behavior across systems.

  • Transform event-level telemetry data into actionable customer journeys aggregated across time windows for product and marketing insight.

  • Develop and manage data integration pipelines, including reverse ETL workflows using tools like Hightouch.

  • Define audience segments, customer profiles, and attribution logic using SQL and dbt in a modern cloud data warehouse (e.g., Redshift).

  • Implement and maintain CI/CD, version control, and automated data quality tests to ensure consistent, trustworthy reporting.

  • Collaborate with marketing and BI to design dashboards in Looker and Amplitude that track campaign performance, segmentation, and ROI.

  • Document data models and transformation logic for transparency and scalability.

  • Balance short-term delivery with long-term maintainability, evolving models to support new business questions efficiently.

  • Monitor data compliance impacts on tracking and reporting, ensuring alignment with privacy standards (such as GDPR and CCPA).

What We're Looking For
  • 7+ years of professional experience in data engineering, analytics engineering, or related roles supporting marketing or product analytics.

  • Expert-level SQL skills, demonstrated through real-world examples of complex transformations and business logic implementation.

  • Strong understanding of event-based data structures and experience modeling user-level metrics from raw telemetry or clickstream data.

  • Proficiency in modern ELT tools and frameworks (dbt), including writing modular, tested transformations.

  • Experience configuring and optimizing large-scale cloud data warehouses (Redshift, Snowflake, or BigQuery).

  • Hands-on experience with customer behavior event tracking and marketing attribution.

  • Familiarity with reverse ETL patterns, marketing activation, and identity resolution workflows.

  • Strong data governance mindset - aware of naming conventions, semantic definitions, and data lifecycle management.

  • Excellent written and verbal communication skills; able to translate complex transformations into accessible explanations for technical and non-technical audiences alike.

  • Driven by curiosity and a desire to help others make smarter, faster decisions through data.

Special Work Conditions

  • Sedentary - Involves sitting most of the time but may involve walking or standing for brief periods of time. Some positions may entail exerting up to 15 lbs. of force occasionally and/or a negligible amount of force to lift, carry, push, or pull.

#LI-JM1

Benefits

Cast & Crew provides a comprehensive package of employee benefits including: Medical, Dental, Vision, PTO, health and wellness programs, employee discounts, and more! Note: Cast & Crew benefits are subject to eligibility requirements.

Cast & Crew is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

CA residents
Your personal information may be collected in connection with certain services provided by Cast & Crew or its affiliated companies. A summary of your California privacy rights can be found at: https://www.castandcrew.com/privacy-policy/

Compensation is commensurate with various factors including, but not limited to, relevant experience, qualifications, skills, training, licensure, certifications, geographic cost of labor, and other business and organizational needs. Compensation range for candidates in other locations may differ based on the cost of labor in that location. The compensation range for this position is: $135,000.00 - $155,000.00 per year.