Senior Lead Data Engineer, Python, AWS, SQL, AI, ML
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
High value attributed to a leadership role, competitive salary, and significant involvement in data engineering and AI/ML solutions.
- Competitive salary: $204,900–$257,200/year
- Career advancement opportunities in technology leadership
- Involvement in cutting-edge data solutions
- Requires a substantial technical background
Pros
- Salary range ($204,900–$257,200/year) reflective of senior technical roles
- Chance to lead a team in innovative data engineering projects
- Exposure to advanced technologies and cloud-based solutions
Cons
- High expectations for extensive experience in various tech stacks
- Possible rapid pace of work with pressure on deliverables
- Complexity of the projects may overwhelm new team members
Who it's for
Senior / Lead • Hybrid / on-site
Good fit
- Senior data engineers with leadership experience
- Candidates passionate about machine learning and AI
- Individuals wanting to push the boundaries of data innovation
Not recommended for
- Newer professionals lacking extensive tech experience
- Those preferring less hands-on involvement
- Candidates seeking only remote work options
Motivation fit
Key skills
About the job
• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
Requirements
- Bachelor’s Degree
- At least 6 years of experience in application development (Internship experience does not apply)
- At least 2 years of experience in big data technologies
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- Master's Degree (Preferred)
- 9+ years of experience in application development including Python, SQL, Scala, or Java (Preferred)
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred)
- 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (Preferred)
- 4+ year experience working on real-time data and streaming applications (Preferred)
- 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) (Preferred)
- Experience developing AI and ML algorithms or technologies (Preferred)
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra) (Preferred)
- 4+ years of data warehousing experience (Redshift or Snowflake) (Preferred)
- 4+ years of experience with UNIX/Linux including basic commands and shell scripting (Preferred)
- 2+ years of experience with Agile engineering practices (Preferred).
🔍 ATS Optimization Keywords
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Hard Skills
- Java
- Scala
- Python
- SQL
- NoSQL
- MapReduce
- Hadoop
- Hive
- Spark
- AI and ML algorithms
Soft Skills
- collaboration
- mentoring
- communication
- leadership
- problem-solving
- teamwork
- adaptability
- passion for technology
- reviewing code
- designing solutions
Certifications & Qualifications
- Bachelor’s Degree
- Master's Degree
