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Data Engineer Consultant Jobs (NOW HIRING)

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Consultant for its Data Services team. This organization provides the technology backbone and ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Provide data engineering consulting expertise, especially in Starburst and Immuta. * Support data migration activities. Key Deliverables : * Completion of assigned stories, including design, data ...

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How much do data engineer consultant jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data engineer consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, cloud platforms, and strong programming knowledge can earn $300,000 or more annually. Compensation varies based on industry, location, and company size, often including bonuses and stock options.

What does a data engineer consultant do?

A data engineer consultant designs, builds, and maintains data pipelines and infrastructure to ensure efficient data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to optimize data workflows and support data analysis and business decision-making.

Can I make 200K as a data engineer?

Data engineer consultants with extensive experience, advanced skills in big data tools, and certifications can potentially earn salaries of $200,000 or more, especially in high-demand markets. Salary levels depend on factors such as location, industry, and the complexity of projects handled.

What are the typical responsibilities of a Data Engineer Consultant on a client project?

As a Data Engineer Consultant, your daily tasks often involve analyzing client data requirements, designing and building scalable data architectures, and developing ETL processes to ensure high-quality data flow. You will frequently collaborate with client stakeholders, data scientists, and other IT professionals to understand business needs and implement effective solutions. In addition, you may be responsible for troubleshooting data issues, optimizing performance, and providing technical guidance during deployments. This dynamic role provides opportunities to work on varied projects, expand your expertise with new tools, and contribute directly to clients’ data-driven strategies.

What are the key skills and qualifications needed to thrive in the Data Engineer Consultant position, and why are they important?

To thrive as a Data Engineer Consultant, you need strong skills in data modeling, ETL pipeline development, database management, and proficiency in programming languages like Python or SQL, usually backed by a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, Azure, GCP), and certifications in these tools are highly valued. Excellent problem-solving, communication, and client management skills help you design effective solutions and convey complex technical concepts to stakeholders. These competencies ensure you can build robust data infrastructures that support business objectives across diverse client environments.

What engineer makes $500,000 a year?

A senior data engineer with extensive experience, specialized skills in big data tools, and working in high-paying industries or companies can earn $500,000 or more annually. Such roles often require advanced certifications, leadership responsibilities, and a strong understanding of data architecture and cloud platforms.

What is a Data Engineer Consultant job?

A Data Engineer Consultant designs, builds, and optimizes data pipelines and infrastructure to help organizations manage and analyze their data efficiently. They work with various technologies, such as databases, cloud platforms, and big data tools, to ensure data is accessible, reliable, and well-structured. Additionally, they provide strategic guidance on best practices, scalability, and performance tuning. Their role blends technical expertise with advisory responsibilities to help businesses make data-driven decisions.

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Data Engineer Consultant jobs near you
Infographic showing various Data Engineer Consultant job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

Data Engineer, Consultant

Releady

Denver, CO • On-site, Remote

$140K - $160K/yr

Contractor

Posted 11 days ago

Job description

OVERVIEW

Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Consultant for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations.

This role is a senior individual contributor and technical leader who reports to a Senior Manager or Manager within Data Solutions and drives end-to-end delivery of complex data engineering solutions across cloud data platforms. The Consultant partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, production-ready data products, and provides technical leadership and mentorship without formal people management responsibility.

NOTE: *Must be eligible to work on W2 without sponsorship. Not eligible for C2C.

  • Pay Rate: $70–$80/hr
  • Duration: 6-month contract-to-hire
  • Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY
RESPONSIBILITIES

Solution Architecture & Delivery

Lead the design and implementation of complex data pipelines and data products from development through production.

Translate solution designs and business requirements into detailed technical architecture and implementation plans.

Architect and build scalable, secure, and highly available data solutions across enterprise data platforms.

Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and reporting needs.

Quality, Security & Operational Excellence

Embed data quality, testing, security, and observability by design across data pipelines.

Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization.

Identify and implement optimization opportunities related to performance, reliability, and cloud cost management.

Technical Leadership & Standards

Influence and evolve the data engineering standards, patterns, and frameworks used by delivery teams.

Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews.

Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners.

AI Enablement & Stakeholder Communication

Support integration of AI/ML-ready datasets by ensuring data is well-modeled, reliable, and governed.

Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

QUALIFICATIONS

Bachelor's degree or equivalent experience, with a minimum of seven years of data engineering experience.

Advanced hands-on expertise in SQL, including automation and pipeline optimization.

Strong experience with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory.

Extensive experience with modern data platforms including Snowflake and Databricks, and orchestration tools such as Airflow or Tidal.

Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing.

Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices.

Strong understanding of security, privacy, and compliance requirements in regulated environments.

Experience working with large-scale, distributed data platforms and parallel processing architecture.

Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered)

Excellent communication and stakeholder engagement skills, with a proven ability to lead technically without formal people management responsibility.

Healthcare industry experience is preferred, including exposure to Epic or similar ecosystems.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.