Lead Data Engineer
Lead Data Engineer
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1 Vacancy
Job Description
Title: Data Engineering Lead
Location: Pittsburgh PA (3 days onsite/hybrid)
Rate: Only W2
Duration: initially through end of 2025 likely extended in 2026 (potential for conversion)
we have an immediate opening for a Data Engineering Lead. This is a very handson Technical Lead role will be doing 7580% handson Data Engineering including design.
The ideal candidate is an experienced Data Engineering Lead with a strong background in Snowflake Python PySpark SQL and Azure cloudbased data solutions. They are a selfmotivated independent problemsolver who is eager to learn new skills and adapt to changing technologies. Collaboration performance optimization and a commitment to maintaining data security and compliance are critical for success in this role.
DaytoDay
- Serve as the subject matter expert in technologies used for our data strategy in the cloud.
- Design develop optimize and maintain data architecture and pipelines that adhere to ETL principles and business goals.
- Solve complex data problems to deliver insights that helps the organizations business to achieve their goals.
- Create data products for analytics and data scientist team members to improve their productivity.
- Advise consult mentor and coach other data and analytic professionals on data standards and practices.
- Foster a culture of sharing reuse design for scale stability and operational efficiency of data and analytical solutions.
- Lead the evaluation implementation and deployment of emerging tools and process for analytic data engineering to improve the organizations productivity as a team.
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- Utilize programming & scripting languages like Python Spark (PySpark) and OpenSource RDBMS and NoSQL databases and Cloud based data warehousing services such as and Snowflake
- Share your passion for staying on top of tech trends experimenting with and learning new technologies participating in internal & external technology communities and mentoring other members of the engineering community
Primary Skill Set:
- Bachelors degree in computer science engineering or a related discipline or equivalent work experience required.
- 710 years of experience in data management services such as the following required.
- Data Handling: Managing storing and organizing large volumes of data.
- Data Integration: Combining data from different sources to create a unified view.
- Data Quality: Ensuring the accuracy consistency and reliability of data.
- Data Security: Protecting data from unauthorized access and breaches.
- Data Analysis: Analyzing data to extract meaningful insights and support decisionmaking.
- Database Management: Working with various database systems to store and retrieve data efficiently.
- Big Data Technologies: Utilizing tools and technologies like Hadoop Spark and others to process and analyze large datasets.
- 5 years of advanced Python programming experience is required.
- 5 years of advanced SQL querying skill is required.
- 2 years of Big Data technologies like HDFS Spark (PySpark) and various data store technologies from onprem to cloud required.
- 2 years of Azure Cloud experience required.
- 2 years experience with enterprise BI Reporting Tools such as PowerBI Tableau or Qlikview (PowerBI preferred).
- 12 years of Snowflake Cloud Database required.
- Experience in creating data pipelines to move and transform data on a large scale in an enterprise organization.
- Strong experience in SDLC DevOps processes CI/CD tools Git etc.
- Strong analytical skills and attention to detail
- Improve data quality and performance.
Snowflake,Azure,Python
Employment Type
Full Time
