Job Title

Job Summary :We are seeking a Data Engineer to join our growing data team, where you will help build and scale the data infrastructure powering analytics, machine learning, and product innovation. As a Data Engineer, you will be responsible for designing, building, and optimizing robust, scalable, and secure data pipelines and platforms. You will work closely with data scientists, software engineers, and product teams to deliver clean, reliable data for critical business and clinical applications.Key Responsibilities: Build and maintain optimal data pipelines, architectures and data sets required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and integration technologies. Work closely with and provide design specifications to Database Administration, Data Architects, and BI development staff to optimize overall design; Enable advanced analytics and data science teams. Identify, design, and implement internal process improvements: automating manual processesoptimizing data delivery, re-designing infrastructure for greater scalability, etc. Research emerging data technology, applications, and integration frameworks to build a strategy to integrate required data into a single source of truth or data warehouse. Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios. This position may require availability outside of standard business hours as part of a rotational on-call schedule.What You’ll Need to Be Successful (Required Skills): 2-4 years years of experience in data engineering or related roles Experience with languages such as Python, Java, Ruby, C++, Perl, SQL, Hive, Scala, Spark, Kafka Experience in big data environments from Azure, AWS, or Google using Big Data technologies such as HDFS, Pig, HBase, Hive Experience with data warehousing and SQL and NoSQL database systems Experience with data modeling and enterprise Extraction, Transformation and Load (ETL) tools Experience with data APIs Experience with analytical problem solving JD Template for Data Engineer • Proficiency in complex SQL query optimization, performance tuning, and enterprise ETL tools (Apache Airflow, dbt, Apache Beam, Luigi) with ability to design and implement scalable data transformation workflows