Data Team Lead

Lead Data Engineer (Data Architecture and Modeling Experience needed)

Location: Charlotte, NC Hybrid

Contract: 6 months contract to hire

Rate: $93 per hour

Job Description:

As the Technical Lead Data Engineer, your primary responsibility will be to spearhead the design, development, and implementation of data solutions aimed at empowering our organization to derive actionable insights from intricate datasets. You will take the lead in guiding a team of data engineers, fostering collaboration with cross-functional teams, and spearheading initiatives geared towards fortifying our data infrastructure, CI/CD pipelines, and analytics capabilities.

Responsibilities:

• Apply advanced knowledge of Data Engineering principles, methodologies and techniques to design and implement data loading and aggregation frameworks across broad areas of the organization.

• Gather and process raw, structured, semi-structured and unstructured data using batch and real-time data processing frameworks.

• Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.

• Drive new and enhanced capabilities to Enterprise Data Platform partners to meet the needs of product / engineering / business.

• Experience building enterprise systems especially using Databricks, Snowflake and platforms like Azure, AWS, GCP etc

• Leverage strong Python, Spark, SQL programming skills to construct robust pipelines for efficient data processing and analysis.

• Implement CI/CD pipelines for automating build, test, and deployment processes to accelerate the delivery of data solutions.

Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• Proven experience (8+) in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses.

• Strong proficiency in SQL, Python and Spark programming languages.

• Strong experience with cloud platforms such as AWS, Azure, or GCP is a must.

• Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.

• Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow etc.

• Experience in implementing CI/CD pipelines for automating build, test, and deployment processes.

• Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices.

• Relevant certifications (e.g., Azure, databricks, snowflake) would be a plus.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client

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The Company will consider qualified applicants with arrest and conviction records.