Lead Data Engineer

Posted 45 Minutes Ago
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Hiring Remotely in New Hampshire, USA
Remote or Hybrid
110K-140K Annually
Senior level
Information Technology • Database • Consulting
The Role
Leads the design, development, and delivery of scalable cloud data solutions using Snowflake, AWS, Python, PySpark, SQL, and big data technologies. Oversees project delivery, requirements gathering, architecture, development, testing, deployment, performance tuning, risk management, and stakeholder communication. Provides technical guidance to teams and supports cloud migrations, Agile delivery, and adoption of modern data engineering practices.
Summary Generated by Built In

Lead Data Engineer with hands-on experience in designing and delivering scalable data solutions. The role requires expertise in cloud data platforms, AWS, Snowflake, data pipelines, ETL/ELT, data modernization, along with strong stakeholder management

Base Compensation Range: 110,000 - 140,000

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Responsibilities
  • 7+ years of relevant experience in Data Engineering and project delivery.
  • Strong expertise in Big Data concepts and cloud implementation projects.
  • Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).
  • Excellent hands-on experience with Python, PySpark, and AWS cloud microservices.
  • Capability to perform coding, debugging, performance tuning, and deploying applications to production environments.
  • Strong problem-solving abilities, analytical skills, and aptitude for ownership.
  • Skilled in Agile Methodology with experience in iterative project deliveries.
  • Quick learner with the ability to lead team members in adopting new technologies.
  • Exceptional communication and stakeholder management skills.

Good-to-Have Skills:

  • Familiarity with DevOps tools and practices (e.g., Jenkins, Git) and experience in CI/CD pipelines.
  • Knowledge of Spark, SQL (with Snowflake exposure), and advanced Big Data Concepts.
  • Experience with cloud migrations and development projects
  • Knowledge of US insurance and reinsurance domain
  • Knowledge of Data Vault 2.0

Role & Responsibilities:

  • Lead and oversee project delivery, ensuring timely completion with high quality.
  • Collaborate with clients and offshore leads to gather requirements and define high-level designs.
  • Direct development and unit testing activities while maintaining strong alignment with project goals.
  • Communicate effectively with stakeholders, providing regular updates on task and project statuses.
  • Identify, track, and address project risks or issues promptly.
  • Work closely with management to ensure seamless execution of tasks.
  • Provide technical guidance to the team, outlining design, implementation, and delivery strategies.

Qualifications

bachelors in engineering or related field 

Skills Required

  • 7+ years of relevant experience in data engineering and project delivery
  • Strong expertise in big data concepts and cloud implementation projects
  • Proficiency with Snowflake, SQL, and AWS services including Glue, EMR, S3, Aurora, and RDS
  • Hands-on experience with Python, PySpark, and AWS cloud microservices
  • Experience with coding, debugging, performance tuning, and production application deployment
  • Strong problem-solving and analytical skills with ownership mindset
  • Experience with Agile methodology and iterative project delivery
  • Ability to lead team members in adopting new technologies
  • Exceptional communication and stakeholder management skills
  • Familiarity with DevOps tools and practices, including Jenkins and Git, and CI/CD pipelines
  • Knowledge of Spark, advanced big data concepts, and Snowflake SQL
  • Experience with cloud migrations and development projects
  • Knowledge of the US insurance and reinsurance domain
  • Knowledge of Data Vault 2.0
  • Bachelor's degree in engineering or a related field

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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