EXL

Lead Assistant Manager

Posted Yesterday

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Hartford, CT, USA

Hybrid

85K-105K Annually

Mid level

Information Technology • Database • Consulting

The Role

Build and maintain scalable ETL/ELT pipelines, data models, warehouses, and lakes using Python, SQL, cloud platforms, and distributed processing tools. Implement data quality, validation, monitoring, governance, and security standards. Integrate diverse data sources, optimize performance, support CI/CD and production deployments, document architecture and lineage, and collaborate with analysts, data scientists, and business stakeholders.

Summary Generated by Built In

Data Engineer (3+ Years Experience)

Hybrid; Hartford, CT

$85,000- $105,000 plus bonus plus benefits

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

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.

We are seeking a Data Engineer with 3+ years of experience in building and maintaining scalable data pipelines, ETL/ELT processes, and cloud-based data platforms. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to deliver high-quality, reliable, and accessible data for reporting, analytics, and AI/ML use cases.

Responsibilities

Design, develop, and maintain ETL/ELT pipelines for ingesting and processing large datasets.
Build and optimize data workflows using Python, SQL, and distributed data processing frameworks.
Develop and manage data models, data warehouses, and data lakes.
Implement data quality checks, validation frameworks, and monitoring solutions.
Integrate data from multiple structured and semi-structured sources.
Collaborate with analysts, data scientists, and business teams to understand data requirements.
Optimize query performance and ensure scalability of data solutions.
Support CI/CD deployment, testing, and production monitoring of data pipelines.
Document data lineage, architecture, and technical processes.
Follow data governance, security, and compliance standards.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
3+ years of experience in Data Engineering or related roles.
Strong proficiency in SQL and Python.
Experience with ETL/ELT development and data pipeline orchestration.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Experience working with data warehouses such as Snowflake, BigQuery, Redshift, or Synapse.
Knowledge of Apache Spark/PySpark and workflow orchestration tools such as Airflow.
Understanding of data modeling, data warehousing concepts, and performance tuning.
Experience with Git, CI/CD, and Agile development methodologies.

Skills Required

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
3+ years of experience in Data Engineering or related roles
Strong proficiency in SQL and Python
Experience with ETL/ELT development and data pipeline orchestration
Hands-on experience with AWS, Azure, or GCP
Experience with data warehouses such as Snowflake, BigQuery, Redshift, or Synapse
Knowledge of Apache Spark or PySpark
Knowledge of workflow orchestration tools such as Airflow
Understanding of data modeling, data warehousing concepts, and performance tuning
Experience with Git, CI/CD, and Agile development methodologies

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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.