3456 IT & Software Developer jobs in the US
Requirements
Must:
- 2-4 years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
- Proficient in SQL and familiarity with at least one programming language (e.g., Python, Java, or Scala).
- Practical experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
- Solid understanding of data modeling concepts, data warehousing, and best practices for ETL/ELT.
- Experience with cloud-based data platforms like AWS, Google Cloud Platform, or Azure.
- Preferred: Experience supporting BI, analytics, or data science teams.
- Preferred: Familiarity with version control, CI/CD, and collaborative development workflows.
- Preferred: Exposure to data governance, privacy, or compliance practices.
- Preferred: Eagerness to learn new technologies and assist in team growth.
Responsibilities
- Design, develop, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
- Write clean, efficient, and well-documented code utilizing tools like Python, SQL, and Spark.
- Ensure the accuracy, reliability, and timeliness of delivered data.
- Collaborate with data analysts, data scientists, and product managers to meet requirements and provide actionable data solutions.
- Translate business inquiries into engineering tasks and participate in technical planning.
- Engage in code reviews, sprint planning, and retrospectives as an agile team member.
- Monitor data pipelines and address issues promptly and systematically.
- Implement data quality measures and contribute to observability and testing methodologies.
- Document data sources, transformations, and architectural decisions for long-term maintainability.
Description
We are currently seeking a Data Engineer to join our expanding data engineering team at FanDuel, where we focus on building the robust pipelines and infrastructure that underpin our analytical capabilities, machine learning applications, and critical business decisions. This role requires a technical expert who is passionate about working with large sets of data, eager to tackle real-world challenges, and committed to continuous growth in a fast-paced environment. At FanDuel, we offer a dynamic atmosphere with a commitment to innovation and collaboration, along with a comprehensive benefits package that includes various health plans, generous paid time off, and 401k matching. Our offices are located in New York, Los Angeles, Atlanta, Jersey City, and internationally in Canada and Scotland.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 3456 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
TASProvider, Vortex Solution, Allied Technical Solutions, D3 Security Management Systems, GINGER Telecom, Steinbach Credit Union, Transport-Bourassa among others, are currently hiring for Data roles in the United States.
The company with most openings is Judge Group, Inc. as they are hiring for 247 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Judge Group, Inc. as they are hiring for 247 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.