Senior Data Engineer Lead

Citi

. Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud.

Posted 5/9/2026full-timeJersey City • Florida, New Jersey • 🇺🇸 United StatesSenior💰 $176,720 - $265,080 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCassandraCloudGoogle Cloud PlatformHadoopJenkinsKafkaMicroservicesMongoDBNoSQLOraclePostgresPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud.
Act as a senior individual contributor and hands-on technical leader.
Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark).
Lead a team of data engineers, providing technical guidance, mentorship, and career development support.
Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards.
Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap.
Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform.
Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams.

Requirements

What you’ll need

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems.
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers.
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills.
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development.
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow).
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect.
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with ‘Data as a Product’ Principle.
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads.
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka).
Experience building and maintaining CI/CD pipelines for data applications (e.g., using Jenkins, GitLab CI, GitHub Actions).
Experience with AI technologies including coding assistant like Microsoft Copilot, Calude Code and Devin.

Benefits

Comp & perks

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonScalaSQLSparkHadoopHiveKafkaAirflowCI/CDdata modeling

Soft Skills

technical leadershipmentorshipcommunicationcollaborationproblem-solvingdocumentationguidancecareer development