BigR.io Senior Data Engineer in Boston, Massachusetts
Senior Data Engineer
Remote- East Coast Hours
BigR.io is a remote-based, technology consulting firm with headquarters in Boston, MA. We deliver solutions ranging from: custom development, software implementation, data analytics, and machine learning/AI integrations. We are a one-stop shop that attracts clients from a variety of industries because of our proven ability to deliver cutting-edge and cost-conscious software solutions.
With extensive domain knowledge, BigR.io has teams of data architects, data engineers, software engineers, web developers, and consultants who deliver best-in-class solutions across a variety of verticals. Our diverse industry exposure equips us with invaluable tools, tricks, and techniques to tackle complex software and data challenges.
Our thought-forward, Big Data team is working on a number of data architecture and software-solution projects. You will join this high-caliber team as a Senior Data Engineer who will work with our clients.
About the Job:
The Data Connectivity Team designs, builds, and maintains the integrated platform that securely procures and links critical business data from disparate internal and external sources. This involves assimilating all structured, unstructured, and semi-structured data. The Senior Data Engineer will help normalize such data into a form that is conducive to our client's business needs (think supply chain, marketing, finance).
Work with other architects and engineers to define, execute, and update core data systems while maintaining a high level of availability and transactional correctness.
Provide technical leadership, data analytics, and product management to define, deliver, and update the entities, entity relationships, and their representation as tables, constraints, and stored procedures.
Help define future technical directions for data systems in collaboration with senior management, product management, and stakeholders.
Minimum Job Qualifications:
5+ years of information and database architecture expertise
Demonstrated expertise in Information Architecture, Data Engineering, and data warehousing
Familiarity with Analytics and Data Science
Strong experience designing distributed systems for scale and high availability.
Extensive experience in designing microservice based applications and data pipelines, concepts of ETLs.
Demonstrated data management experience with SQL database platforms: MySQL, Postgres, Redshift, Snowflake, Oracle, or SQL Server.
Deep experience with at least one cloud platform: Azure, Amazon, or Google. We use Amazon.
Proven ability to collaborate, build relationships, and influence stakeholders at all levels in a matrix-management environment.
Ensure that segregation and overlapping roles are identified and coordinated.
Ability to present complicated analytical methodology and results to a non-technical audience.
Experience working in a fast-paced, high-tech, and customer obsessed environment.
Preferred Job Qualifications:
Experience with Amazon Web Services: RedShift, S3, EC2, EMR, etc.
Experience with industry-standard Data Warehousing technologies: Snowflake, Spark, Apache Airflow, celery, etc.
Understanding of columnar formats such as Parquet and Avro
Experience with micro service orchestration platforms such as Kubernetes
Experience using data transformation tools such as panda, pyspark, etc.
Experience leading onshore or offshore teams, or mentoring junior engineers
Related experience in an e-commerce organization with a recurring revenue model, a plus
Equal Opportunity Statement
BigR.io is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigR.io makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.
Powered by JazzHR