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Data Engineer Consultant Jobs (NOW HIRING)

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join ... Analytica is a leading consulting and information technology solutions provider to public sector ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to ... Analytica is a leading consulting and information technology solutions provider to public sector ...

Data Engineer

$130K - $170K/yr

Vision insurance Maxana is looking for a skilled data engineer with extensive experience in Magento ... Our consultants have a wealth of knowledge in the payment and fintech industries, and we use this ...

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

... an ETL/ELT developer/data engineer. * 3+ years of Databricks data engineering experience ... S. states and Canada, we support thousands of consultants through our expansive, high-performing ...

Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Job Summary : Tata Consultancy Services is seeking a Data Engineer to provide project-based ... and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is ...

Data Engineer

Mclean, VA

$102K - $170K/yr

Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining ...

Data Engineer III

Saint Louis, MO · On-site

$108K - $130K/yr

Louis, Missouri V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in St. Louis, Missouri . Education and Experience * 7+ years of experience in Data Engineering or ...

Data Engineer

$102K - $170K/yr

Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... technical consulting services. Our range of expertise, project types, and culture make us the ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... technical consulting services. Our range of expertise, project types, and culture make us the ...

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... technical consulting services. Our range of expertise, project types, and culture make us the ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... technical consulting services. Our range of expertise, project types, and culture make us the ...

Data Engineer

Mclean, VA · On-site

$102K - $170K/yr

Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining ...

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer to support in building, optimizing, and ...

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Data Engineer Consultant information

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How much do data engineer consultant jobs pay per hour?

As of Jul 13, 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.

What cities are hiring for Data Engineer Consultant jobs? Cities with the most Data Engineer Consultant job openings:
What are the most commonly searched types of Data Engineer Consultant jobs? The most popular types of Data Engineer Consultant jobs are:
What states have the most Data Engineer Consultant jobs? States with the most job openings for Data Engineer Consultant jobs include:
Data Engineer

Data Engineer

Analytica

Washington, DC • On-site

$129K - $155K/yr

Full-time

Medical, Retirement

Re-posted 23 days ago


Job description

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.
The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.
Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.
Responsibilities include (but are not limited to):
  • Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)
  • Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases
  • Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets
  • Collaborate with stakeholders to translate business requirements into technical data solutions
  • Ensure data quality, integrity, and performance through testing, monitoring, and optimization
  • Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)
  • Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications
  • Apply data governance, security, and metadata management best practices

Qualifications (aligned to expertise level):
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)
  • Experience working across cloud (AWS, Azure) or hybrid data environments
  • Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level
  • US Citizenship and must be able to obtain and maintain security clearance
  • Emerging / Junior Data Engineer:
    • Foundational knowledge of SQL and Python (or similar language)
    • Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects
    • Understanding of basic data modeling and ETL/ELT concepts
    • Ability to work within established pipelines and contribute to data workflows with guidance
  • Mid-Level Data Engineer:
    • Hands-on experience building and maintaining data pipelines using Databricks and Spark
    • Strong SQL and programming skills (Python and/or Scala)
    • Experience designing data models and optimizing data processing workflows
    • Ability to independently deliver data solutions and troubleshoot performance issues
  • Senior Data Engineer:
    • Deep expertise in Databricks, Spark, and large-scale data processing architectures
    • Proven ability to design and implement scalable data platforms and lakehouse architectures
    • Strong experience with performance tuning, data reliability, and cost optimization
    • Ability to lead technical design, mentor team members, and influence data engineering best practices
    • Experience working cross-functionally to define data strategy and architecture
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

Preferred Qualifications:
  • Experience with Delta Lake and lakehouse architecture pattern
  • Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)
  • Experience with data governance, cataloging, and lineage tools
  • Experience mentoring junior engineers or leading technical initiatives (senior level)
  • Relevant certifications in data engineering or big data technologies particularly in Databricks

AboutAnalytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat hasbeen recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growingcompanies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The companyis appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.