Staff Data Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Staff Data Engineer developing enterprise-scale data infrastructure at PG Forsta, specializing in Azure and Databricks technologies. Driving data quality and supporting analytics collaborations.
Responsibilities:
- Design, build, and optimize data pipelines and workflows in Azure and Databricks, including Data Lake and SQL Database integrations.
- Implement scalable ETL/ELT frameworks using Azure Data Factory, Databricks, and Spark.
- Optimize data structures and queries for performance, reliability, and cost efficiency.
- Drive data quality and governance initiatives, including metadata management and validation frameworks.
- Collaborate with cross-functional teams to define and implement data models aligned with business and analytical requirements.
- Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
- Ensure adherence to security, compliance, and data privacy standards.
- Mentor junior engineers and contribute to establishing engineering best practices.
- Support CI/CD pipeline development for data workflows using GitLab or Azure DevOps.
- Partner with data consumers to publish curated datasets into reporting tools such as Power BI.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
- 7+ years of experience in data engineering, with significant hands-on work in cloud-based data platforms (Azure)
- Experience building real-time data pipelines and streaming frameworks
- Advanced proficiency in Azure 5+ years (Data Lake, ADF, SQL)
- Strong expertise in Databricks (5+ years), Apache Spark (5+ years), and Delta Lake (5+ years)
- Proficient in SQL (10+ years) and Python (5+ years); familiarity with Scala is a plus
- Strong understanding of data modeling, data governance, and metadata management
- Knowledge of source control (Git), CI/CD, and modern DevOps practices
- Familiarity with Power BI visualization tool.
Benefits:
- Bonuses and commissions tied to achieved results
Similar Jobs
Data Architect
Data Architect evaluating and evolving data architecture for partners at EVT. Focus on ingestion, processing, and structuring of data with a collaborative team environment.
Data Engineer
Data Engineer responsible for designing, building, and maintaining data pipelines at Loopback Health. Collaborating with cross-functional teams to drive system and process improvements.
Data Engineer
Data Engineer optimizing and maintaining data pipelines in Blackline Safety's IoT-enabled safety ecosystem. Collaborating with product, engineering, and analytics teams on impactful data-driven initiatives.
Senior Ingeniero de Datos
Senior Data Engineer developing data solutions for transforming lives at Sofka. Collaborating in a close-knit team focused on continuous improvement and technical excellence.
Senior Data Engineer
Senior Data Engineer at Arsipa developing scalable data platforms and ETL/ELT pipelines. Collaboration with teams to ensure data quality, performance, and innovation in data architecture.
Data Engineer
Data Engineer shaping cloud-based data solutions for top U.S. companies. Engage with diverse projects remotely from Latin America.
Senior Data Engineer
Senior Technical Consultant delivering end-to-end data solutions and managing client relationships. Collaborating with technical team to drive project success with Microsoft technologies.
Senior Data Engineer – Data for Products
Lead the design and implementation of scalable batch and streaming data pipelines on Azure. Collaborate with product teams to ensure data quality, performance, and governance across the data lifecycle.
Data Engineer
Data Engineer maintaining scalable data pipelines for an international company in Hamburg. Requires experience with Snowflake, ETL processes and Azure Data Factory.
IS Data Warehouse Architect – III
Data Warehouse Architect designing and developing data models and ETL specifications. Collaborating on data architecture and vendor relations for a nonprofit health care organization.
Senior Director – Data Platform, Analytics
Leading the development of an integrated data platform at Harbor Compliance. Unifying fragmented data and establishing governance to empower decision-making.
Senior Data Engineer
Senior Data Engineer at D.A. Davidson optimizing data integrations and migrating legacy structures. Involves cloud architecture and coordination with product teams.
Data Architect
Professional Services Delivery Architect at Ciena guiding global delivery teams and ensuring high-quality outcomes for customer engagements. Leading complex transformations and influencing solution strategy.
Distinguished Architect, Data Platform
Distinguished Architect leading the design of a next-generation data platform at CloudZero. Driving technical decisions and architectural innovations for scalable cloud cost management solutions.
Senior Data Engineer
Data Engineer designing and maintaining data pipelines for Arrow Electronics. Collaborating with teams in engineering and architecture discussions across global projects.
Data Engineer – AI, Spark, Databricks, Healthcare
Data Engineer managing advanced Spark scripts for data validation and integration at Cotiviti. Collaborating with engineering teams to ensure data integrity and compliance in healthcare data processes.
Senior Software Engineer, Data Platform Team
Senior Software Engineer designing and developing features for data platforms at Sysdig. Leading technical strategy and mentoring teams in cloud security innovations.
Data Engineering Architect – Manager
Data Engineering Architect managing scalable AWS Data Lakehouse architectures at Naveera Technology. Overseeing data engineering projects with a focus on analytics and reporting solutions.
AI Data Engineer
AI Data Engineer bridging data warehousing and AI-driven analytics capabilities. Collaborating on automated solutions and operational workflows in eCommerce with global brands.
AI Data Engineer
AI Data Engineer at Netwrix designing and building enterprise-grade data and AI platforms. Focused on stability and repeatability while adhering to security and governance standards.