Optomi · 13 hours ago
Senior Data Engineering Specialist
Optomi is seeking a Senior Data Engineering Specialist with extensive Databricks experience to enhance data pipelines and products. The role involves designing scalable data solutions, collaborating with stakeholders, and driving a shift towards a Databricks-first architecture.
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Responsibilities
Design, build, and maintain Databricks-based data pipelines using best practices and modern patterns
Implement ingestion and transformation workflows leveraging Autoloader, batch and real-time/streaming pipelines, and orchestrated jobs
Apply Medallion architecture principles (Bronze/Silver/Gold) to build reliable, high-quality datasets and curated data marts
Develop using Spark (Spark SQL / PySpark) and Python to support current needs and future high-volume/unstructured ingestion
Partner with business stakeholders to clarify requirements, translate them into scalable solutions, and communicate tradeoffs clearly
Contribute to modeling and analytics enablement, including star schema and relational modeling to support BI/reporting use cases
Support data governance and platform-aligned practices (e.g., cataloging, lineage, quality) as part of delivery work
Mentor peers and contribute to engineering standards, reusable patterns, and documentation
Qualification
Required
Strong understanding of the full Databricks ecosystem with demonstrated delivery experience
Hands-on experience with Databricks Autoloader
Building pipelines end-to-end (including real-time ingestion where applicable)
Medallion architecture and data product thinking
Advanced SQL skills (core competency)
Solid foundation in data engineering principles: Data warehousing concepts, data marts, lake/lakehouse concepts
Star schema, relational modeling, and pipeline design rationale (“the why”)
Strong communication skills: able to articulate requirements, explain solutions, and align across teams
Ability to work as T-shaped talent: deep in Databricks, flexible in adjacent areas when needed
Preferred
Cloud experience in Azure (preferred), with openness to Databricks experience in AWS/GCP
Streaming/eventing experience with Azure Event Hubs and/or Kafka (Kafka welcome and highly transferable)
Familiarity with tools/approaches such as Debezium, Flink, or similar streaming/CDC technologies
Experience with Power BI modeling (star schema, semantic model design, relationships, and performance considerations)
Exposure to legacy/on-prem data tools such as Informatica PowerCenter and/or Netezza (not required)
Comfort picking up Python-based ML pipelines if needed (ML engineering experience not required)
Company
Optomi
OPTOMI is an IT staffing firm that serves its consultants, clients, and employees through its consultant-focused approach.
H1B Sponsorship
Optomi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (6)
2023 (2)
2022 (5)
2021 (8)
2020 (7)
Funding
Current Stage
Late StageRecent News
2025-09-24
2024-05-31
2024-05-24
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