Software Engineer

About the Role

HMH Data Engineer is a senior position with expectations for both technical leadership,and a force to grow and sustain HMHs positive, high energy technology company culture.The Senior Data Engineer creates high-quality craftsmanship-level software for HMH clients and internal users, and are expected to be experts in the software languages usedor required by HMH. This includes meeting all requirements/specifications, testing/QA requirements, methodologies and other HMH software/product requirements. This position must be adaptable to changing technology environments, and work collaboratively with all participants in a software development project. The Senior Data Engineer may be called upon to fulfill functions related to software development that are not specifically software programming, such as requirements gathering, producingdocumentation, quality assurance testing, mentoring other developers, and leadingprojects. This position provides technical guidance and serves as a mentor/resources to the more junior level Software Engineer roles.

Key Responsibilities

• 1

  Design, build, and maintain ETL/ELT data pipelines from diverse data sources (databases, APIs, event streams, files).

• 2

  Develop and manage data warehouse/lake solutions (e.g., Snowflake, BigQuery, Redshift, Databricks, or similar).

• 3

  Implement and maintain data quality checks, validation, and monitoring to ensure high data reliability.

• 4

  Optimize queries and pipelines for performance, scalability, and cost efficiency.

• 5

  Collaborate with stakeholders to understand data needs and translate them into technical solutions.

• 6

  Maintain documentation of data models, pipelines, and systems.

• 7

  Implement and follow data governance, security, and privacy standards (e.g., access control, PII handling).

• 8

  Participate in code reviews, design discussions, and continuous improvement of data engineering standards and tooling.

• 9

  Troubleshoot and resolve data-related issues in production environments.

Requirements

• Bachelors degree in Computer Science, Engineering, Information Systems, Mathematics, or equivalent practical experience.
• Strong experience with SQL (complex joins, window functions, performance tuning).
• Professional experience with at least one programming language used for data engineering (e.g., Python, Scala, or Java), preferably Python.
• Hands-on experience with ETL/ELT tools or frameworks (e.g., Airflow, dbt, Luigi, Kafka Streams, Flink, custom pipelines).
• Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and working with large datasets.
• Experience on at least one cloud platform (AWS, GCP, or Azure) and its data services (e.g., S3/GCS/ADLS, Redshift/BigQuery/Synapse, EMR/Dataproc).
• Understanding of data modeling, warehousing, and orchestration concepts.
• Familiarity with version control (Git) and CI/CD practices for data code.
• Strong problem-solving skills and ability to work with incomplete or ambiguous requirements.
• Good communication skills and ability to work collaboratively in cross-functional teams.

Skills Required

How The Selection Process Works

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