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Freelance Data Analytics Engineer Jobs (NOW HIRING)

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics ...

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities.

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Full Stack Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery ...

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

Data Analytics Engineer (Remote)

$117K - $140K/yr

ECOM is seeking a Data Analytics Engineer to join their Digital Team. The role involves assisting with Data Analytics Engineering and requires expertise in Adobe Analytics and A/B Testing.

Data Analytics Engineer

New York, NY · On-site

$130K - $140K/yr

Position Overview The Data Analytics Enginee r designs, builds, and supports RugsUSA's enterprise ... You Have Bachelor's degree in computer science, Computer Engineering, Information Systems or ...

Sr Data Analytics Engineer

Apodaca, NM · On-site

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact? Would you like to join a global organization ...

Data Analytics Engineer

Manhattan, NY · On-site

$100 - $125/hr

Data Analytics EngineerRugsUSA New York, New York, United States About this position About RugsUSA ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * Experience developing and ...

Data Analytics Engineer

Huntsville, AL · On-site

$80K - $128K/yr

Responsibilities The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This position is and on-site ...

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

Showing results 41-60

Freelance Data Analytics Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do freelance data analytics engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for freelance data analytics engineer 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 Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

More about Freelance Data Analytics Engineer jobs

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Cities with the most Freelance Data Analytics Engineer job openings:

What are the most commonly searched types of Data Analytics Engineer jobs?

The most popular types of Data Analytics Engineer jobs are:

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For Freelance Data Analytics Engineer jobs, the most frequently searched job titles are:

Infographic showing various Freelance Data Analytics Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Analytics Engineer

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


Key responsibilities

  • Partner with client delivery teams and customers to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data-related issues

  • Deliver data-based products such as interactive analysis platforms, data quality reports, statistical analyses, and visualizations that communicate complex findings clearly

  • Own the design, quality, and reliability of ETL/ELT data pipelines, including coordinating with stakeholders, running quality control, and documenting decisions


Job description

VIA is making an impact, and so can you.

Headquartered in Boston, Massachusetts, VIA is a mission-critical software company that enables organizations to share and analyze sensitive data at speed without compromising security or control. VIA's decentralized architecture keeps data sovereign, while its agentic AI helps organizations solve critical challenges, and its military-grade security governs access. Designed for simplicity, rapid deployment, and disconnected environments, VIA makes sensitive data usable wherever the mission happens, even offline. The Department of War, Fortune 50 companies, and critical infrastructure companies around the globe trust VIA to help them solve their toughest analytics and digital security challenges. Learn more: solvewithvia.com.

An impressive mission requires an equally impressive Data Analytics Engineer.

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA's data products and guide our customers' decisions. Operating on a high-velocity Agile team, you'll work cross-functionally with software engineers, data peers, and client delivery professionals to lead data initiatives end to end, in an environment where precision, security, and clarity are non-negotiable.

In this role, you will:

Understand the data and the domain

  • Partner with VIA's client delivery team and customers to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data-related issues
  • Explore customer data to build a clear picture of contents and characteristics (e.g. averages, expected ranges, trends, standard deviations) and make suggestions for data cleaning and analysis

Build AI-powered data products

  • Deliver data-based products to external customers, including interactive data analysis and investigation platforms, data quality reports, statistical analysis, and visualizations that turn complex findings into clear stories
  • Build AI into VIA's data products, for example through automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces over operational data
  • Evaluate the quality and reliability of AI/ML outputs against domain expectations, and design the human-in-the-loop checks that keep our data products trustworthy

Oversee data pipelines

  • Own the design, quality, and reliability of ETL/ELT pipelines, including work built with AI assistance
  • Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
  • Run quality control on data and data products through both automated tests and targeted manual review, and document the assumptions and decisions made along the way so the work stays traceable

Improve the platform

  • Contribute to the continual improvement of internal tools for data cleaning, modeling and analytics, and data quality assessment by identifying key data-related challenges that are ideal candidates for automation and AI enhancement
Requirements

What you will bring to this role:

  • 3+ years of experience in a data-driven role or equivalent in data-related research projects
  • Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field
  • Competence in Python, R, or equivalent programming language
  • Competence in at least two of the following technologies:
    • Database technologies (e.g., SQL, PostgreSQL)
    • Data science libraries (e.g., NumPy, pandas)
    • Data pipelining workflows and tools (e.g., Dagster, Airflow, dbt)
    • Cloud providers (e.g. AWS, Azure), including software development kits used to access data and services on these platforms
  • Ability to translate complex data findings into clear, compelling narratives
  • Strong communication capability to decompose complex operational workflows into clear, repeatable steps that both teammates and AI tools can act on
  • Passionate about data integrity, with a proven track record of transforming raw inputs into high quality, trusted datasets
  • A self-starter attitude and demonstrated ability to learn new technologies quickly
  • Experience in the following is a plus:
  • Generative AI tools (e.g. AWS Bedrock, LangChain)
  • Testing frameworks (e.g. pytest)

What does it take to be a successful VIAneer? Let's break it down, our VIAneers are:

  • Self-motivated and passionate about leaving everything they touch better than how they found it
  • Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work
  • Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
  • People who lead discussions with curiosity and value diverse perspectives
  • Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
  • Strong team players who thrive in collaborative environments and celebrate the success of others
Benefits

What can VIA do for you?

VIA offers competitive benefits, flexible work options, and individualized mentoring and growth opportunities. Here are just a few of our VIAneers' favorite perks:

  • Compensation: 
    • This role offers a salary range of $100,000 - $130,000 USD per year
    • 401K plan with up to 5% employer contribution
  • Health: A fully funded, top-tier health benefits plan, including vision and dental coverage, fully covered from day one, for your whole family
  • Family Support: Up to 24 weeks paid parental leave, a 4-week paid ramp-back program, and a $10K family forming benefit (covering fertility treatments, adoption, and surrogacy)
  • Time off: Flexible Vacation Policy with no set annual limit or accrual period, Summer Fridays, and an extended holiday period in December
  • Remote work: Ability to enjoy the best of both worlds with flexibility to work from home as needed, as well as access to three well-located offices, designed for collaboration and stocked with everything you could need
    • Opportunities to work remotely from eligible locations for up to 2 months per year
  • Growth: Individualized growth opportunities, including internal and external mentorship panels, custom goals and feedback sessions, and/or access to learning and development programs, including VIA's unrivaled leadership program
    • A dedicated wellness advisor to help you navigate the programs and opportunities available at VIA
  • Transit: Benefits to support commuting costs
  • Connection: In-person events to foster team bonding and collaboration across different teams

Read more about our benefits and perks here.

Our commitment to Diversity and Inclusion:

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, or disability status.

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