Applications Development Senior Programmer Analyst - Assistant Vice President

Description

This is an intermediate-level role in which you help set up and put into use new or revised application systems and programs, working with the Technology team.

The main aim of the role is to support applications systems analysis and programming work.

Responsibilities

• Build and maintain scalable ETL and ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks.
• Help implement and run data platforms on AWS, Azure, or GCP.
• Process large datasets with big data tools such as Databricks, Snowflake, and Apache Iceberg.
• Tune Spark jobs for speed, partitioning, and cost-efficient processing.
• Help build the Lakehouse architecture so that data stays accurate, consistent, and reliable.
• Help set up data federation across multiple sources with Starburst/Trino.
• Support data governance work, including quality checks, lineage, metadata, and enterprise standards.
• Make sure data security and governance policies are followed, including role-based access controls (RBAC) and auditability.
• Troubleshoot and improve the performance of data pipelines and queries.
• Help model data for analytics, reporting, and downstream use.
• Work with data scientists and ML teams to build pipelines for AI/ML and RAG-based use cases.
• Take part in Agile work, including sprint planning, stand-ups, and retrospectives.
• Gather requirements from stakeholders and deliver data solutions that fit business needs.
• Other job-related duties may be assigned as needed.

Requirements

• Recommended: 4-7 years of experience in data engineering or related roles.
• Recommended: strong hands-on skill with Python, PySpark, and Spark SQL.
• Recommended: experience with Databricks, including Delta Lake and performance tuning.
• Recommended: working knowledge of Ab Initio (GDE, Co>Operating System, Conduct>It).
• Recommended: experience with Snowflake for data warehousing and analytics.
• Recommended: familiarity with Starburst/Trino and data federation concepts.
• Recommended: exposure to Apache Iceberg or similar open table formats.
• Recommended: hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and its data services, such as Glue, ADF, Dataflow, Redshift, Synapse, or BigQuery.
• Recommended: understanding of data governance frameworks, including data quality, lineage, cataloging, and security.
• Recommended: experience supporting data pipelines for analytics and machine learning workloads.
• Recommended: familiarity with Agile or Scrum methodologies.
• Recommended: strong problem-solving, collaboration, and communication skills.
• A bachelor's degree in computer science, engineering, information technology, or a related field.
• A master's degree is a plus but not required.

Conditions

Full-time position based in Irving, Texas, United States.

Full-time salary range is $107,120.00 - $160,680.00.

The anticipated posting close date is Nov 30, 2026.

Automated processing and AI help match your skills and abilities to the role, but people make all hiring decisions and no decision is made automatically.

Illinois residents receive a separate AI notice and rights information.

Country-specific provisions may apply and are set out separately.

The company's equal opportunity policy and Know Your Rights poster are available to review.

Benefits

• Medical, dental, and vision coverage.
• 401(k) plan.
• Life, accident, and disability insurance.
• Wellness programs.
• Paid vacation, sick leave, and paid holidays.
• Possible discretionary and formulaic incentive and retention awards for eligible employees.
• Benefits may vary by jurisdiction, job level, and date of hire.