Our Company is seeking a Big Data Engineer to analyze, aggregate, manipulate, and visualize data to report on program performance and identify opportunities for program development or enhancement to increase the positive impact on patients’ lives. Big Data Engineer will be responsible for the development of reporting and dashboards for internal and client-facing teams, along with ad hoc reports and analyses.

Role Description

·         Work with Engineering and business teams to analyze data and provide meaningful business insights

·         Define and build an industry standard pipeline and Datawarehouse for nosql database (mongo)

·         Enhance data collection procedures to include information that is relevant for building analytic systems

·         Processing, cleansing, and verifying the integrity of data used for analysis

·         Performing ad-hoc analysis and presenting results in a clear manner

·         Create automated anomaly detection systems and constant tracking of its performance

·         Create various machine learning models and work with development teams to integrate them into products

·         Extend company’s data with third party sources of information when needed

Technical Qualifications

·         5+ years of professional experience either in Big Data, Data Engineering or Business Intelligence.  This might include ETL, data warehousing or data visualization.

·         5+ years of hands-on experience applying principles, best practices and trade-offs of schema design to various types of database systems: relational (Oracle, MSSQL, Postgres, MySQL), NoSQL (HBase, Cassandra, MongoDB) and in-memory (e.g. VoltDB). Understanding data manipulation principles.

·         Deep understanding of NoSQL databases like mongoDB.

·         Understanding of data flows, data architecture, ETL and processing of structured and unstructured data

·         Minimum 3 years of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala etc.

·         2+ years of hands-on experience in implementing batch and real-time Big Data integration frameworks and/or applications, in private or public cloud, preferably AWS, using various technologies (Hadoop, Spark, Impala, etc); debugging, identifying performance bottlenecks and fine-tuning those frameworks.

·         Experience with statistical software (e.g., R, Python, Julia, MATLAB, pandas) and database languages (e.g., SQL, MongoDB).

·         Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations.

·         Experience with cloud environments (e.g., AWS, Google)

Non Technical Qualifications

·         Bachelor’s Degree or equivalent work experience required.

·         Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills.

·         Strong analytical and technical skills, you are detail-oriented and work fast.

·         A true self-starter approach and love of taking on responsibility.

·         Genuine desire and commitment to always learn, improve, produce the best work possible.

·         An agile mindset to thrive in a fast-pace environment.

·         Excellent communication skills.

·         Experience in healthcare is preferred

·         Location: Boston area preferred, remote candidates will be considered.

·         Full time or contract roles available.