As a Data Engineer at BAL on the Data Products team, you will design, build, and manage resilient data pipelines and automation solutions. You will play a key role in ensuring our data systems are scalable, reliable, and optimized for performance and quality across the enterprise.
- Company: BAL (Berry Appleman & Leiden LLP)
- Location: Richardson, TX (Hybrid)
- Type: Full-time
- Requisition Number: ENGIN002188
- Salary: Up to $150k/ yr (Expected)
About BAL
BAL is a team of brilliant professionals transforming lives through elite immigration work and collaborative innovation. We believe in balancing hard work with a fun, inclusive culture where everyone feels valued, respected, and empowered to grow. At BAL, you’ll find purpose, teamwork, and meaningful impact every day.
We offer competitive pay, an annual discretionary bonus, and a strong benefits package that includes:
- Medical, dental, vision, disability, and life insurance
- Unlimited vacation and sick time
- 401(k) with company match
- A supportive, team-oriented work environment
- Design, develop, and maintain scalable ETL pipelines that clean, transform, and integrate data from multiple sources.
- Enhance production data workflows and automations to improve performance and monitoring.
- Optimize database performance, implement schema changes, and uphold data governance standards.
- Collaborate with cross-functional teams to deliver business-focused data solutions.
- Implement testing and monitoring processes to ensure data integrity and availability.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience).
- 5+ years of experience in data engineering or related software development roles.
- Proficiency with Python/PySpark, SQL, and scripting languages (Shell, Bash, PowerShell).
- Experience building ETL/ELT pipelines using technologies like Spark, EMR, Databricks, Glue, Kinesis, Redshift, Snowflake, etc.
- Familiarity with AWS cloud services and serverless data engineering tools.
- Strong understanding of data integrity, testing, and monitoring in production environments.
- Hands-on with data platforms such as Databricks or similar technologies.
- Experience with REST API integration (Python or C#).
- Knowledge of ML/AI pipelines and MLOps practices.
- Experience with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Azure DevOps).
- Dashboard and report development experience.
- Customer Obsessed: Deep empathy and focus on client needs.
- Aim High: Constantly pushing for innovation and excellence.
- No Ego: Open, humble, and team-oriented approach.
- One Team: Collaboration drives success.
- Lift As We Climb: Invest in others’ growth.
- Lean & Nimble: Agile and efficient problem solving.
