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Contract Data Analytics Engineer Jobs in Austin, TX

Ferrovial

Data Analytics Manager

Austin, TX · On-site

Data Analytics Manager WORKSITE: 9600 Great Hills Trail, Austin, TX 78759 JOB DUTIES: Responsible ... Bachelor's in civil engineering, Construction Management, or related and 42 months experience on ...

Ferrovial

Data Analytics Manager

Austin, TX · On-site

Data Analytics Manager WORKSITE: 9600 Great Hills Trail, Austin, TX 78759 JOB DUTIES: Responsible ... Bachelor's in civil engineering, Construction Management, or related and 42 months experience on ...

Ferrovial

Data Analytics Manager

Austin, TX · On-site

$120 - $180/hr

POSITION: Data Analytics ManagerWORKSITE: 9600 Great Hills Trail, Austin, TX 78759JOB DUTIES ... Bachelor's in civil engineering, Construction Management, or related and 42 months experience on ...

eBay Inc.

Speech & Text Analytics Engineer

Austin, TX · On-site

$98K - $173K/yr

Design and build API-based tools and data pipelines to migrate data between environments, integrate with the DevOps and SRE team to supervise the tools in the production, Work with security team to ...

JLL

Data Analytics, Technical Director

Austin, TX · Remote

The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ... Assists platform engineers, account personnel, and external clients with daily workflow ...

1 point system

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Build data products that boost productivity for engineers, analysts, and data scientists * Engineer high-quality features for modeling in close collaboration with data scientists and business ...

Wise

Senior Data Analytics Manager

Austin, TX · On-site

Experience using data engineering tools (GitHub, dbt, Airflow etc.) to transform messy data into ... Experience in Compliance analytics testing or Internal Audit analytics * Experience using dbt

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Showing results 21-40

All JobsContract Data Analytics Engineer JobsContract Data Analytics Engineer Jobs in Austin, TX

Contract Data Analytics Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

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

As of Sep 6, 2026, the average yearly pay for contract data analytics engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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

AspectContract Data Analytics EngineerData Analyst
CredentialsBachelor's in Data Science, Analytics, or related field; often some experience with cloud platformsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentProject-based, often remote or contract roles within tech, finance, or consulting firmsFull-time or part-time roles in various industries, including healthcare, marketing, and finance
Employer & Industry UsageUsed by companies needing specialized, short-term data solutions, especially in tech and consultingWidely employed across industries for ongoing data reporting and insights

The Contract Data Analytics Engineer focuses on building and optimizing data pipelines and analytics solutions on a contractual basis, often requiring technical expertise in data engineering. In contrast, Data Analysts primarily interpret data, create reports, and support decision-making. Both roles require strong analytical skills, but the Contract Data Analytics Engineer emphasizes data infrastructure and engineering tasks.

What are the most commonly searched types of Data Analytics Engineer jobs in Austin, TX?

The most popular types of Data Analytics Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Contract Data Analytics Engineer jobs?

Cities near Austin, TX with the most Contract Data Analytics Engineer job openings:

Contract Data Analytics Engineer jobs near you
Infographic showing various Contract Data Analytics Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Manufacturing Yield & Device Analytics Engineer

Noveon Magnetics

San Marcos, TX • On-site

$69K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

Job Title: Manufacturing Yield amp; Device Analytics Engineer
Reports to: Process Engineering Manager
Location: San Marcos, Texas


We have one goal: to manufacture quality magnets! We are looking for exceptional individuals who want to learn, build, and lay a foundation for our company for the years to
come.


About this role
You will be responsible for tracking, optimizing, analyzing, and sustaining manufacturing performance to directly improve operational efficiency, product quality, yield performance,
and cost-effectiveness. This role completely bridges physical manufacturing fundamentals with advanced analytical problem-solving, deep process capability analysis, and massive
data-driven decision-making. The ideal candidate behaves like an analytical sleuth: leveraging manufacturing data trends, statistical analysis, and process validation to drive
yield optimization, eliminate waste, and deliver concrete process capability statistics back to design engineering to establish realistic manufacturing design rules.

What good is a job without great benefits to reward your hard work?
What We Have To Offer:
• Competitive Base
• Medical/Dental/Vision insurance on day 1 of employment
• Health Saving Account (HSA) with Employer contribution
• Employee Assistance Program
• 401(k) retirement plan and match program
• Long Term Disability (Employer Paid)
• Short Term Disability (Employer Paid)
• Paid Time Off (eligible after 90 days of employment)
• Sick Leave (eligible after 90 days of employment)
• Company Paid Holidays
Diversity
At Noveon Magnetics, we believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome.
What You’ll Be Doing:
Yield Enhancement amp; Data Analytics
• Drive Yield Improvement: Utilize data analytics and statistical methodologies to proactively identify process variation, pinpoint production inefficiencies, and execute
targeted yield improvement and waste reduction opportunities.
• Statistical Performance Tracking: Analyze high-volume manufacturing data trends, SPC metrics, scrap rates, equipment downtime, cycle times, and overall yield
performance to spearhead continuous improvement initiatives.
• Lead Advanced DOE: Direct complex Design of Experiments (DOE) activities to establish robust process windows, stabilize process robustness, and achieve
challenging process capability targets.
• Predictive Performance Modeling: Develop predictive and preventive improvement strategies through analytical modeling and process performance evaluation.
Design Rule amp; Cross-Functional Alignment
• Define Manufacturing Design Rules: Deliver precise process capability numbers and statistical performance metrics to Design Engineering to help define, refine, and
enforce realistic design rules for optimal manufacturing scaling.
• Cross-Functional Collaboration: Collaborate cross-functionally with Production, Quality, Supply Chain, and Operations teams to instill a culture of rigorous, data-based
decision-making across the organization.
• Root Cause Diagnostics: Apply advanced root cause analysis methodologies (including 8D, 5 Whys, Fishbone, Pareto Analysis, and full CAPA implementation) to
diagnose sudden process disruptions or quality events.
Sustaining amp; Smart Manufacturing Optimization
• Quality amp; Regulatory Compliance: Ensure all yield-enhancement initiatives and process changes conform to company Quality Management Systems (QMS),
supporting ongoing compliance with ISO 9001 and automotive standards.
• Support Digitization amp; Industry 4.0: Support manufacturing digitization, automation, and smart factory initiatives to improve process consistency and unlock deep
operational visibility.
• Equipment Capacity Evaluation: Evaluate manufacturing equipment performance, capacity limitations, tool utilization, and baseline process efficiency.
• Product Cost Analytics: Conduct thorough product cost analyses including labor touch-time, machine utilization, scrap generation, cycle time, and process-related
cost drivers.
Documentation amp; Risk Assessment:
Update and maintain critical Process FMEAs (PFMEAs), Control Plans, and process risk assessments based on ongoing yield data analysis.
We are Looking for Someone Who:
Core Requirements
• Education: Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Electrical Engineering, Materials Science, or a highly related
technical field.
• Experience: 3–7+ years of experience in high-precision manufacturing, process engineering, device engineering, or yield analysis environments.
• Analytical Mastery: Exceptional analytical, statistical modeling, and data interpretation skills.
• Statistical Tooling Background: Deep hands-on experience utilizing SPC, process capability analysis, complex DOE, and statistical problem-solving methodologies.
• Root Cause Expertise: Highly proficient in rigorous root cause analysis and corrective/preventive action implementation.
• Core Manufacturing Fundamentals: Strong working knowledge of manufacturing systems, production optimization, KPI tracking (yield, scrap, OEE, throughput), and
Lean/Six Sigma principles.

Preferred Qualifications (Nice-to-Have)
• Device / Yield Engineering Background: Prior experience as a Device Engineer, Yield Engineer, or Yield Analytics Specialist within a semiconductor fabrication or
advanced precision electronics environment is highly advantageous.
• Data Visualizations amp; Tools: Advanced Excel skills, with strong experience utilizing Minitab, Power BI, SQL, JMP, or equivalent manufacturing data analysis software.
• Smart Factory Experience: Experience supporting automated equipment, manufacturing digitization, or Industry 4.0 initiatives.
• Certifications: Lean Six Sigma Green Belt or Black Belt certification is a major asset.
• Automotive Core Quality: Familiarity with APQP, PPAP, FMEA, and Control Plan methodologies.
Work Environment:
• Able to move up to 20lbs.
• Prolonged periods sitting at a desk and working on a computer.
• Can wear PPE.
• Is capable of making repetitive movements, including, but not limited to, sitting,
squatting, and walking up and down stairs.

About Noveon Magnetics

At Noveon Magnetics, we’re reimagining the rare earth magnet industry and changing the way we electrify the world. We’re a fast-growing, diverse team of scientists, engineers, entrepreneurs, and innovators from across the globe united by a shared mission to support the commercialization of our magnet manufacturing technology and forge a new path toward resource efficiency, resource independence and a low-carbon economy.

As the only U.S manufacturer of permanent rare earth magnets essential to a range of technologies that rely on an electric motor--from electric vehicles to medical devices to aerospace and defense systems to clean energy--we’re ushering in an electric future that is 100% Made in America. All our operations, from R amp;D through production, assembly, and delivery, are conducted out of our state-of-the-art manufacturing center in San Marcos, Texas.

Noveon Magnetics is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

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