Job Location : Boston,MA, USA
Your Role We are seeking a **Senior Data Engineer** to join our small but highly impactful DevOps and Data Engineering team within our larger R&D organization. As the first dedicated Data Engineer on the team, you will play a pivotal role in shaping our data strategy, driving technical architecture, and laying the foundation for scalable and maintainable data systems. Youll have the opportunity to mentor and coach colleagues across the organization, collaborate with software engineers, DevOps, and AI/ML engineers, and lead the implementation of best practices for data engineering. This role is ideal for someone who thrives in a **hybrid environment**where data originates from diverse sources including IoT devices, robotics, lab sensors, and other systemsand is passionate about building reliable pipelines that feed cloud-based analytics and decision-making. Youll need to be excited by the idea of leaning into and growing your DevOps skillset as you will be a contributing towards the DevOps platform and function. **Responsibilities** **Required Skills** Strong proficiency in Deep experience designing and building **data pipelines** (ETL/ELT) and data processing frameworks. Hands-on experience with **cloud platforms** (e.g., AWS, GCP, Azure) and their data-related services (e.g., S3, Redshift, BigQuery). Experience working in **hybrid environments**, integrating data from on-premise systems, IoT devices, robotics, lab sensors, etc., into cloud-based architectures. Knowledge of data modeling concepts (e.g., star/snowflake schema, normalized/denormalized models). Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Strong problem-solving skills and the ability to translate complex business needs into technical solutions. Experience with **streaming data technologies** (e.g., Kafka, Kinesis, Spark Structured Streaming). Strong experience with Terraform, Kubernetes, and Helm.**Nice-to-Have Skills** Familiarity with **Spark**, **dbt**, **Iceberg** Familiarity with ML workflows Experience with **CI/CD practices** for data pipelines. Experience mentoring engineers or leading small teams. Prior experience in **R&D environments** or working with highly cross-functional teams. * This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.* This position includes medical, vision and dental coverage, 401k, paid vacation, **holidays, and sick time**, and other benefits.Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
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