Overview

Location: Los Angeles, CA Position Title: Lead, Data Engineering (LA-LDE-2026A(2)i) Job Description: The Lead, Data Engineering will be responsible for leveraging experience to implement and refine technical solutions to problems across various industries. Work with a diverse engineering team, engage in the entire engineering life cycle, focusing on designing, developing, optimizing, and deploying cutting-edge data engineering solutions and infrastructure at a production scale suitable for the worlds largest companies. Develop data and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data engineer and expert within a cross-functional team. Develop and maintain long-lasting products that support internal or client needs. Collaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutions. Collaborate with data engineering leaders to develop and advocate for modern data engineering concepts to both technical audiences and business stakeholders. Enable data and technology for data science, analytics, and other application use cases via data engineering. Responsible for transformations at scale including cleaning, enriching, de-duping, joining and correlated on structured, semi-structured or unstructured data. Define and implement new and innovative deployment techniques, tooling, and infrastructure automation within Bain for the full software development life cycle including designing, writing documentation and unit/integration tests, and conducting code reviews for data engineering solutions. Participate in infrastructure engineering for data ecosystem including development, testing, deployment and release. Provide technical guidance to external clients and internal stakeholders in Bain. Contribute to industry-leading innovations that translate into great impact for clients in case work. Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform. Position is in a fixed location based in the Los Angeles, CA office; however, telecommuting from a home office may also be allowed. Travel may be required up to 30%. Multiple Positions Available. Job Requirements: Requires a Masters degree in Computer Science, Engineering, or a related technical field plus three (3) years in a related senior associate or staff level position. Experience must include: Three (3) years of experience programming with Python, Scala, C/C++, Java, C#, Go, or a similar programming language. Three (3) years of experience with SQL or NoSQL databases, such as PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake. Deploying serverless data pipelines through containerization and terraform orchestration. Working with public cloud environments (AWS, GCP, or Azure), and associated deep understanding of failover, high-availability, and high scalability. Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance. Data ingestion using at least one modern ETL compute and orchestration frameworks (e.g. Apache Airflow, Luigi, Spark, Apache Nifi, and Apache Beam). Version control and git workflows. Position is in a fixed location based in the Los Angeles, CA office; however, telecommuting from a home office may also be allowed. Travel may be required up to 30%. Salary: $188,157 - $238,000 /year. Multiple positions available. Please submit resumes via the company website by clicking the Bain & Company, Inc. hyperlink below or to Bains US Immigration Team, 350 Boylst