🕒 2 days ago
Drive Databricks adoption and technical standards while designing and optimizing scalable data pipelines, strengthening governance and observability, and guiding engineers across data engineering initiatives.
Senior Software Engineer I - Data & Algorithm Engineering
📅 Sep 21
SQLDatabricksData EngineeringData Warehousing
📜 Description
- Develop scalable, performant solutions and maintain, improve, and expand data models and Databricks pipelines.
- Turn complex healthcare data into well-defined insights about patients and their interactions with the healthcare system.
- Monitor and observe data models to assess their impact across the company.
- Partner with engineering managers, product managers, and stakeholders to develop and execute technical roadmaps using Agile processes.
- Mentor junior engineers, review pull requests, and incorporate feedback on your own work.
🛠️ Requirements
- BS/BTech (or higher) in Computer Science, Engineering or a related field.
- 3+ years of experience working with SQL or other database querying language on large multi-table data sets.
- 4+ years experience as an engineer building backend applications as part of a cross-functional team.
- 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 2+ years of experience coaching other engineers.
- 2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift.
- 3+ years of working in backend languages like Python, Java, Node.js etc.
- Experience in designing, building and optimizing data pipelines and ETL processes.
- Proficiency in working with large datasets and knowledge of data storage technologies.
- Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
Full job description
As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our data models and Databricks pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.
The Patient Domain Team is responsible for turning complex health care data into well-defined insights about our patients that describes who they are and how they interact with the health care system. We are responsible for telling our partner practices more about who their patients are and how to ensure they receive the care they need. We are also responsible for figuring out how to monitor and observe our models in action to ensure they are driving impact across the company.
Primary Duties:
Minimum Qualifications:
BS/BTech (or higher) in Computer Science, Engineering or a related field.
3+ years of experience working with SQL or other database querying language on large multi-table data sets.
4+ years experience as an engineer building backend applications as part of a cross-functional team.
2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
2+ years of experience coaching other engineers.
Preferred KSAs:
Physical Requirements:
Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Similar jobs
Search more Data Engineer jobs
🕒 3 days ago
Design and optimize scalable data pipelines and cloud-native architectures that support Data & AI initiatives, collaborating across teams to deliver secure, high-performing data solutions.
🕒 3 days ago
As a Senior Data Engineer, you will build, enhance, and maintain our data platform on Databricks, transforming large datasets into clean, usable data products.
Senior Data Engineer(Remote)
🕒 yesterday
Arista Networks👥 5001 - 10,000 employees🏢 Computer Networking
🕒 yesterday
Design and support scalable data solutions for a Manufacturing BI team, building pipelines, integrations, data models, and Power BI reporting while ensuring reliable performance and data quality.
🕒 2 days ago
Own the architecture, ingestion, transformation, and production operations of a multi-source data platform, delivering reliable company intelligence through event-driven processing and orchestrated workflows.