Data Engineering Lead
Data Engineering Lead
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Job Description
Data Engineering Lead
Location: 100 OnSite in Las Colinas / Irving TX
Position Type: DirectHire
Salary: 175180k annual plus 15 bonus
Residency Requirements: Must have current U.S. work authorization that does not require employer sponsorship either presently or in the future.
Seeking an experienced Senior Data Engineering Lead to join an innovative data team. This is a permenant job that demands deep expertise in cloudbased data infrastructure largescale data processing and engineering leadership. You will play a pivotal role in building resilient scalable and highperformance data systems that drive critical business insights and operational efficiency. Collaboration with diverse technical and nontechnical teams will be a core part of this role ensuring that data remains accurate available and secure throughout the organization.
Key Responsibilities
- Architect and implement highthroughput data pipelines and transformation processes (ETL/ELT) ensuring they are reliable and adaptable.
- Work with modern data technologies including but not limited to Kafka Apache Spark Flink HDFS HBase and columnar storage formats like Parquet.
- Build and maintain robust ingestion systems and realtime streaming solutions using distributed data processing tools.
- Design and oversee cloudbased data platforms using providers such as AWS Azure or GCP to support data lake and warehouse strategies.
- Leverage Databricks for development and orchestration of data workflows and analytics tasks.
- Develop and maintain GraphQL endpoints to expose structured data to various internal platforms and tools.
- Manage and model graphbased data using databases like Neo4j to support complex relationshipdriven insights.
- Optimize query performance and manage largescale vector datasets using VectorDB or similar technologies.
- Act as a strategic partner to stakeholders across analytics data science and product teams to meet evolving data needs.
- Implement strong data governance and security controls ensuring compliance and best practices.
- Handle diverse data formats such as Avro Parquet and others to support seamless data transformation and storage.
- Provide mentorship to junior engineering staff and encourage ongoing professional growth within the team.
Qualifications and Experience:
- Degree in Computer Science Software Engineering or related technical discipline (graduatelevel education is a plus).
- 7 years of handson experience in data engineering or related fields particularly with data modeling and largescale ETL development.
- Proficient in Python Scala or Java for datadriven application development.
- Extensive practical knowledge of big data ecosystems including tools like DBT SQLMesh Kafka Spark and Flink.
- Familiar with modern graph and vector databases (e.g. Neo4j VectorDB) as well as API development using GraphQL.
- Demonstrated experience working with major cloud platforms like GCP Azure or AWS.
- Strong command of SQL and experience with both relational and nonrelational databases.
- Exposure to BI and visualization platforms such as Looker Power BI or Tableau.
- Ability to communicate technical concepts clearly and effectively to a wide audience.
- Experience designing and managing systems in hybrid or multicloud environments.
- Knowledge of data quality frameworks and governance practices.
- Prior experience leading a team or mentoring other engineers in a technical capacity.
What We Offer:
- Comprehensive Coverage: Full companypaid healthcare (including vision and dental) for employees and their dependents under our HDHP plus parental leave and EAP support.
- Retirement Support: 100 401(k) match up to 6 of contributions.
- Additional Benefits: Access to a PPO medical plan HSAs with company contributions FSAs optional supplemental insurance and Wellhub.
- Generous Time Off: 25 days of paid leave annually in addition to 12 observed company holidays.
Employment Type
Full Time
