Lead Assistant Manager

EXL

Data Engineer building scalable ETL/ELT pipelines and cloud data platforms for EXL's analytics and AI/ML use cases. Optimizing data quality, warehouses, workflows, and governance.

Posted 9/4/2026full-timeHartford • Connecticut • 🇺🇸 United StatesSenior💰 $85,000 - $105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and maintaining ETL/ELT pipelines, optimizing data workflows, and implementing data quality checks. Experienced in cloud platforms and data warehousing solutions, with a strong focus on collaboration and compliance.

Highest-signal resume keywords

ETL/ELT DevelopmentSQL ProficiencyPython ProgrammingCloud Platforms (AWS, Azure, GCP)Data Warehousing (Snowflake, BigQuery, Redshift)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT DevelopmentSQL ProficiencyPython ProgrammingData ModelingData WarehousingPerformance TuningData Quality ChecksData Pipeline OrchestrationMonitoring SolutionsData Governance

Soft Skills

CollaborationCommunication

Tools & Technologies

Apache SparkPySparkAirflowGitCI/CD

Industry Keywords

Data EngineeringData LakesData WorkflowsAgile DevelopmentData Security

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudETLGoogle Cloud PlatformPySparkPythonSparkSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Bonus
Benefits package
Information about benefits and offerings available at https://www.exlservice.com/us-careers-and-benefits