Senior Data Engineer Position Available In Westchester, New York

Senior Data Engineer
Rye, New York (undefined)
Permanent
Job Description
Senior Data Engineer

• Full-time permanent position

Pay Rate:

Depends on location

• flexible and robust overall compensation package
• Hybrid
• reside within 1 hour of:
  o Rye, NY
• 10580
  o Newark, DE
• 19713
  o Kansas City, MO
• 64111
  o St. Paul, MN
• 55114
  o Lincoln, NE
• 68505
  o Providence, RI
• 02908

Remote:

Anywhere in Texas
We at Raise are hiring on behalf one of our key clients in the Healthcare (Non-profit) industry. After establishing themselves as a leader in their space, our client’s team is expanding to meet rising demand.
They’re looking for skilled technical professionals like you to help complete meaningful and impactful projects. This is a role where you can learn and grow alongside an experienced team. If you want a job where you can build skills with an industry leader, this could be it.
Our client takes pride in their people. When you join their team, you’ll find a workplace that facilitates challenge, achievement, and growth.
They’re hiring right now; if you’re interested, today for your chance to join a great place to work.

Responsibilities:

Data Pipeline Design & Optimization:

Design, implement, and optimize robust and scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks. Ensure efficient data flow and processing to support large-scale data handling.

Data Modeling:

Develop and refine data models to accurately represent business processes, ensuring they’re scalable and fully integrate with our extensive data architecture, including Big Data frameworks like Spark.

Data Architecture:

Enhance our overarching data architecture strategy, assisting in decisions related to data storage, consumption, integration, and management within cloud environments (Azure, AWS, or Google Cloud).

Agile/SCRUM:

Lead and contribute within Agile/SCRUM frameworks to ensure timely and efficient project deliveries. Actively participate in ss and stand-ups, ing these methodologies to streamline development.

Collaboration:

Partner with data scientists, BI teams, and other engineering teams to understand and translate complex data requirements into actionable engineering solutions.

Mentorship:

Guide and mentor junior data engineers, promoting best practices in SQL, Python, and cloud technologies, and fostering a culture of continuous learning and improvement.

Quality & Governance:

Uphold and champion data quality standards and governance policies, ensuring reliability and compliance in all data-related tasks.

Performance Tuning:

Monitor and enhance the performance of data infrastructure, proactively identifying and resolving bottlenecks or inefficiencies in cloud and Big Data environments.

Innovation:

Stay abreast of emerging data engineering and AI technologies and methodologies, recommending and implementing innovative tools or practices as appropriate.

Documentation:

Generate comprehensive documentation for data processes, pipelines, and architectures to ensure clarity and ease of maintenance for the team, including detailed descriptions of cloud and Big Data implementations.

Qualifications:

• 7+ years of progressive experience in data engineering, with significant expertise in designing, implementing, and optimizing databases and data pipelines.
• Extensive hands-on experience with SQL Server, Oracle, or other relational database management systems (RDBMS).
• Proficiency in SQL and Python for advanced data manipulation and analytics.
• Demonstrated experience with data modeling and architecture for both analytics and transactional systems within large-scale environments.

Cloud and Big Data Experience:

o Proficient with at least one major cloud data platform (Azure, AWS, Google Cloud) with practical application in data engineering projects.
o Familiarity with Big Data technologies such as Spark and Cloud ETL tools like Databricks, focusing on scalability and real-time processing capabilities.

Methodology and Tools:

o Proven track record of using Agile and SCRUM methodologies to drive successful project delivery in a dynamic development environment.
o Experience in developing data models for integration and analysis that support business intelligence and data analytics initiatives.
Looking for meaningful work? We can help
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to , including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions),