Position Title: Data Engineer
Job Overview:
We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.
Key Responsibilities:
* Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.
* Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.
* Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.
* Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.
* Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.
* Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.
* Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.
* Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.
Qualifications:
* Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).
* Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.
* Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
* Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.
* Strong understanding of database systems, data modeling, and cloud architecture.
* Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).
* Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.
Skills & Competencies:
* Takes initiative and brings solutions, not just problems.
* Strong analytical thinking and a pragmatic approach to building systems.
* Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.
* Collaborative and team-oriented, but capable of working independently when needed.
* Detail-oriented, dependable, and eager to help shape a growing data function.
* Demonstrates flexibility and professionalism, especially in high-paced, shifting environments
