Mid Level Analytics Engineer Jobs
Mid level analytics engineer jobs go to professionals ready to own data pipelines and modeling projects end to end, drive decisions with limited oversight, and mentor junior teammates. Roles are spread across on-site, hybrid, and remote settings in Technology & Software, Retail, and Construction & Real Estate, with Amazon, OpenAI, and Decagon among the employers hiring at this level now.
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THE POSITION
Our roster has an opening with your name on it
FanDuel is looking for an Analytics Engineer who will be responsible for designing, building, maintaining, and improving the data models, datasets and data visualizations which are and will be used by data scientists, analysts and stakeholders to power business performance impacting decisions in Generosity/Promotional Spend.
This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
- Work with Data Scientists and Data Engineers to optimize data pipelines and feature engineering for reporting, analysis, classification and prediction models
- Manage data transformation jobs for relevant data, ensure completion on schedule, optimize code, troubleshoot any issues
- Optimize modeled metric pipelines, streamline execution times and prioritizations, reduce query execution times where possible, remove unnecessary or unused metrics
- Leverage AI to accelerate and enhance your work, taking care to ensure high integrity, managing AI risk of error, and maintaining excellent understanding of AI output to avoid blind trust.
- Build a strong understanding of Sportsbook Generosity Distribution strategy, our customers behaviors and preferences, and your stakeholders objectives, to support collaboration, and focus on delivering impactful output and ideation
- Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling
- Maintain business rule definitions, and code implementations
- Design and implement data quality checks and alerts to manage accuracy of underlying data, and ensure modeled metrics are fit for purpose
- Build strong knowledge in how to optimally use our data platforms, and assist in educating team members in optimal platform usage;
- Build and maintain strong working relationships with key stakeholders in relevant teams within the Data Engineering and Data Product departments;
- Build and maintain dashboards, optimize code, troubleshoot issues
- Identifying potential improvements in underlying ingested data, or new data needs, and working with Data Engineering to prioritize and deliver
THE STATS
What we're looking for in our next teammate
- Minimum 3 years of experience in a similar role
- Minimum 2 years building, maintaining and optimizing complex data pipelines with real world applications
- Advanced SQL coding and experience of manipulating large datasets
- Proficient in at least one programming language (e.g. Python, R, C# etc.)
- Strong problem solving ability and attention to detail are important
- Experience building data pipelines using Python and Databricks an advantage
- Experience working with data visualization tools like Tableau an advantage
- Undergraduate degree in a coding heavy or technical discipline
- Interest in Sports an advantage
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Mid Level Analytics Engineer Jobs: Frequently Asked Questions
How do I get a mid level analytics engineer job?
Position yourself around ownership, not just execution. Highlight projects where you designed or rebuilt a data model, resolved a production issue independently, or delivered analysis that shaped a business decision. Tailor your resume to show scope, not just tasks, and be specific about the tools and frameworks you drove rather than supported. A portfolio with documented impact closes the gap between candidate and hire.
Which companies hire mid level analytics engineers?
Companies hiring mid level analytics engineers right now include Amazon, OpenAI, and Decagon, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large technology firms and data-forward enterprises that need engineers who can work autonomously across the full analytics stack.
How do I move up to a mid level analytics engineer role?
The path from entry level to mid level runs through demonstrated ownership. Early-career analytics engineers grow by taking on complete projects rather than isolated tasks, deepening proficiency in dbt, SQL, and a cloud data warehouse, and building a record of measurable outcomes. Mentorship, code review participation, and cross-functional collaboration signal readiness for the autonomy mid level roles expect.
Which industries hire the most mid level analytics engineers?
Mid Level analytics engineer roles concentrate in Technology & Software, Retail, and Construction & Real Estate, based on current listings on Migrate Mate as of November 2026. Those sectors generate large, complex data sets that require engineers who can build reliable pipelines and translate raw data into decisions without heavy day-to-day direction.