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Contract Data Analytics Engineer Jobs in Austin, TX

Safelease Inc

Data Analyst

Austin, TX · Hybrid

About The Role We're looking for an Analytics Engineer / Data Analyst to unlock the value of our data assets by transforming and presenting data in a way that drives action. You'll be a key voice in ...

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 ...

Pwc

Data Engineer - Senior Associate

Austin, TX · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Ci

Data Science and Analytics Manager

Austin, TX · On-site

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

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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 Aug 8, 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.

Data Analyst

SafeLease Insurance Services LLC

Austin, TX • On-site

Full-time

Medical, PTO

Re-posted 16 days ago

Job description

About SafeLease
At SafeLease, we're rethinking how P&C insurance is sold in an age of technological change. We believe the industry's biggest inefficiencies aren't technical problems - they're structural ones. And we're building the team to tackle them.
SafeLease is a profitable insurance business that designs, underwrites, and distributes specialty coverage for commercial property owners and their tenants. Most insurance companies either distribute products or bear the risk - we do both. We back our policies with our own capital, which means we control the full stack: product design, tech, and the speed at which we move. That end-to-end ownership lets us offer customers real flexibility, saving time and money for more than 4,000 properties insured for billions in value nationwide.
We're a team of 70, growing over 100% annually, and we've done it without sacrificing profitability or culture. Here, you'll get high discretion and a wide aperture of problems to solve. We embrace the newest technologies, move fast together, and operate with the intensity of a small company where every person's work is visible. If you're looking for a place to sharpen your craft alongside people who take their work seriously, you'll fit right in.
This position requires working in the office 3 days per week in either New York City or Austin, TX. Applicants who are unable to work from either office location or are not willing to relocate will not be considered.
About The Role
We're looking for an Analytics Engineer / Data Analyst to unlock the value of our data assets by transforming and presenting data in a way that drives action. You'll be a key voice in turning data signals into business decisions.
This isn't a "pull reports on request" role. You'll build the infrastructure that makes reliable reporting possible, go deep on unexplained patterns, and proactively surface insights that change how the business operates. You'll work closely with pricing, sales ops, product, and leadership - translating between technical data realities and business questions that don't always arrive in clean form.
What You'll Do
Data Modeling & Transformation
  • Design, build, and maintain dbt models that transform raw source data into clean, well-documented, analytics-ready tables in Snowflake
  • Establish and enforce naming conventions, testing standards, and documentation practices across the dbt project
  • Own the semantic layer - ensuring consistent metric definitions that all stakeholders can trust

Reporting & Dashboards
  • Build and maintain executive and department-level dashboards that communicate performance clearly and without ambiguity
  • Partner with stakeholders across pricing/actuarial, sales, business development, and operations to understand reporting needs and translate them into durable, self-serve solutions
  • Distinguish between dashboards that inform decisions and dashboards that create noise - and build accordingly

Analysis & Insight
  • Conduct deep-dive analyses to explain anomalies, validate hypotheses, and uncover signals in messy data
  • Synthesize findings into clear, concise narratives - written, visual, and verbal - appropriate for technical and non-technical audiences
  • Proactively identify inflection points in the data and connect them to operational or market causes
  • Contribute to strategic decisions by framing tradeoffs with data, not just describing what happened

Data Quality & Governance
  • Instrument data quality checks and alerting so issues surface before they reach decision-makers
  • Maintain data dictionaries and lineage documentation that make the platform legible to the broader organization
  • Partner with engineering to ensure upstream source data lands in a state that's trustworthy and usable

Required
  • 3-5+ years of experience in analytics engineering, data analysis, or a hybrid role
  • Strong SQL - you write queries from scratch, optimize them, and know when a query is telling you something wrong
  • Hands-on experience with dbt (Core or Cloud) - model structure, ref/source, tests, documentation, incremental strategies
  • Proficiency with Snowflake or a comparable cloud data warehouse
  • Experience building dashboards in Metabase, Looker, Mode, Tableau, or similar
  • Proven ability to go from a vague business question to a structured analysis to a clear recommendation
  • Strong written communication - your documentation and stakeholder write-ups are as clear as your SQL

Strong Plus
  • Experience in insurance, fintech, or real estate data environments
  • Familiarity with property data, underwriting data, or policy/claims datasets
  • Python for data analysis (pandas, notebooks, scripting)
  • Exposure to data modeling patterns - star schema, slowly changing dimensions, wide tables - and when to use which
  • Experience working in a startup or early-stage data team where you had to build the foundation, not just extend it
What Success Looks Like
In your first 90 days, you've learned the data landscape, identified the highest-leverage gaps in our current modeling and reporting, and shipped your first set of dbt models and dashboards into production. Stakeholders know who to come to with data questions - and the answers they get are accurate and on time.
At six months, you've meaningfully improved data reliability and self-serve access across at least two business functions. You've led at least one significant deep-dive that influenced a real business decision.
At a year, you are the person who knows more about how SafeLease data works - end to end - than almost anyone else in the company. You're raising the bar for how we define, measure, and act on data, and you're doing it in a way that makes the whole team better.
Why SafeLease?
The tech: Our prospects convert fast because we're solving real problems and delivering serious value to commercial real estate owners.
The team: We're a team of seasoned pros and sharp operators who know how to move fast and build smart. High standards, low ego.
The stability: We're well-funded, growing fast, and we make sure our team shares in that success with competitive pay and equity.
The employee experience: We also offer unlimited PTO, full health benefits, flexible work setups, and the kind of culture where people want to show up to do their best work.
If you don't have all the qualifications listed, don't worry! We understand everyone's career path is unique and still encourage you to apply if you feel this role is aligned with your career trajectory.
Employment at SafeLease is contingent upon a satisfactory verification of a general and criminal background check.

Apply