Slalom · 21 hours ago
Databricks Senior Engineer
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. As a Senior Engineer in the Databricks practice, you will be a technical leader delivering innovative solutions on the Databricks Platform and collaborating with cross-functional teams to design and optimize data pipelines.
CollaborationConsultingIT ManagementManagement ConsultingProject Management
Responsibilities
Develop and implement data solutions using Databricks, with hands-on experience in specific Databricks platform features such as Delta Lake, Uniform (Iceberg), Delta Live Tables (Lakeflow Declarative Pipelines), and Unity Catalog
Collaborate with cross-functional teams to design and optimize data pipelines for both batch and streaming data, ensuring data quality and efficiency
Stay updated with emerging technologies, latest Databricks platform features and continuously improve your skills in Databricks and other relevant tools
Qualification
Required
5+ years of data engineering experience, with at least 2 years of hands-on data pipeline design and development experience with Databricks, including specific platform features like Delta Lake, Uniform (Iceberg), Delta Live Tables (Lakeflow Declarative pipelines), and Unity Catalog
Proficiency in designing and building robust, scalable, YAML configuration driven data pipelines with batch, micro-batch, and streaming data ingestion and processing patterns using tools like Auto Loader demonstrating a strong understanding of modern data engineering practices
Experienced in building complex job/workflow orchestration patterns using either Databricks jobs/workflows or with other orchestration tools like Airflow, dbt etc
Exposure in building robust data quality, pipeline audit/observability solutions with Databricks native features and/or other data quality tools/frameworks like Great Expectations, Collibra, dbt etc
Proficiency in Big Data Platforms: Apache Spark, Presto, Amazon EMR
Experience with Cloud Data Warehouses: Amazon Redshift, Snowflake, Google BigQuery
Strong programming skills using SQL, Stored Procedures and Object-Oriented Programming languages (like Java, Python, PySpark etc.)
Familiarity with building DevOPs, CI/CD pipelines using Databricks Asset Bundles with automated validation and testing
Exposure with Infrastructure as Code (IaC) tools like Terraform is a big plus
Familiarity with NoSQL Databases and Container Management Systems
Exposure to AI/ML tools (like mlflow), prompt engineering, and modern data and AI agentic workflows
An ideal candidate will have Databricks Data Engineering Associate and/or Professional certification completed with multiple Databricks project delivery experience
Benefits
Meaningful time off and paid holidays
Parental leave
401(k) with a match
A range of choices for highly subsidized health, dental, & vision coverage
Adoption and fertility assistance
Short/long-term disability
Yearly $350 reimbursement account for any well-being-related expenses
Discounted home, auto, and pet insurance
Company
Slalom
Slalom Consulting is a business and technology consulting firm that designs and builds strategies and systems to help its clients
H1B Sponsorship
Slalom 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 (215)
2024 (258)
2023 (250)
2022 (614)
2021 (254)
2020 (220)
Funding
Current Stage
Late StageTotal Funding
$1.69M2013-04-12Series Unknown· $1.69M
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