Data Engineer

Inclusively is partnering with a global professional services company to hire a Data Engineer. Please note: this role is NOT an internal position with Inclusively but with the partner company.

ABOUT INCLUSIVELY Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

Responsibilities:

• Design and maintain high-volume batch ETL pipelines using Python/PySpark on Hadoop
• Own Autosys job scheduling and dependency management for production batch operations
• Modernize legacy Oracle PL/SQL systems into scalable distributed data pipelines
• Build and maintain data quality and reconciliation frameworks
• Collaborate with business, compliance, and analytics teams on SLA-driven deliverables

Clients require people to work onsite 3 days per week onsite with the client in Addison, TX. Also, 5 days of Time Away are mandated per calendar quarter. Key responsibilities:

Basic qualifications:

• 4+ years of experience as a Data Engineer in production environments
• 4+ years of hands-on Python and PySpark development for large-scale ETL pipelines
• 4+ years of Oracle PL/SQL and relational database development
• 4+ years working with Hadoop ecosystem (HDFS, Hive, YARN)
• 4+ years of enterprise batch job scheduling using Autosys or equivalent (Control-M, Oozie)
• 3+ years of experience in data warehousing concepts (star/snowflake schema, dimensional modeling)
• 3+ years of experience in data quality and reconciliation framework development
• Experience in Financial Services, Retirement, or Banking domain
• Bachelor's degree in Computer Science, Engineering, or related field

Preferred qualifications:

• Experience with Apache Kafka, Sqoop, or streaming data pipelines
• Familiarity with AWS (S3, EMR) or equivalent cloud platforms
• Experience with Apache Airflow or dbt for pipeline orchestration
• Exposure to CI/CD pipelines using Jenkins or Git
• Master's degree in a quantitative or technical discipline
• Experience mentoring junior engineers or leading technical delivery