Senior Data Engineer
We are looking for a Senior Data Engineer to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You’ll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem. As a senior member of the team, you’ll work closely with engineers, analysts, product managers, and data scientists to deliver data pipelines and platforms that drive meaningful business outcomes. The ideal candidate is a strong problem solver, a team player, and someone who brings both technical depth and a collaborative mindset to every challenge. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you. 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.
- Design, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systems.
- Work with large-scale, complex datasets and ensure data is clean, well-modelled, and accessible across the organisation.
- Develop and maintain batch and streaming data pipelines and data platforms using modern tools and technologies.
- Build modular, reusable data models and assets using tools like Spark, dbt or similar frameworks.
- Collaborate with stakeholders to understand business needs and translate them into reliable, production-ready data solutions.
- Ensure data quality, accuracy, and consistency through validation frameworks and monitoring.
- Follow and promote software engineering best practices, including testing, version control, documentation, and code reviews.
- Actively participate in technical design discussions, and architecture reviews.
- Help evolve our data platform and tooling to improve performance, developer experience, and scalability.
- Partner with data scientists, analysts, and product managers to support data-driven decision-making.
- Clearly communicate technical concepts, project status, and risks to stakeholders.
- Share knowledge and mentor junior engineers through code reviews and collaborative problem-solving.
- 5+ years of experience in data engineering or software engineering with a focus on building data pipelines and platforms (required).
- Strong SQL skills and fluency in at least one programming language (e.g., Python, Scala, or Java) (required).
- Hands-on experience with modern data tools such as Airflow, Spark, dbt, Kafka, or Databricks (required).
- Deep understanding of data modeling, data warehousing, and best practices for data quality and observability (required).
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) (required).
- Strong problem-solving skills and ability to work independently in a fast-paced environment (required).
- Experience supporting analytics and machine learning workflows (preferred).
- Familiarity with data governance, privacy, and compliance frameworks (preferred).
- Experience working in a product-led or customer-centric organisation (preferred).
- Familiarity with infrastructure-as-code or DevOps practices related to data systems (preferred).
- The applicable salary range for this position is $138,000 - 181,650 USD.
- 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.
- 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.
- 14 paid company holidays.
- Life, vision, dental, and disability insurance.
FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. 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).