Data Engineer, Boston, MA. Hybrid, Financial Services, 115-155k base, bonus

Data Engineer, Boston, MA. Hybrid, Financial Services, 115-155k base, bonusOur client is seeking a Data Engineer to join our Data team. The Data Engineer will report to the Director of Data Engineering. This role will play a critical role in designing and building scalable data solutions, working closely with various operations teams, data analysts, and business stakeholders. The Data Engineer will help build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, Python and Java.This is a hybrid work environment opportunity located in Boston, Massachusetts with a weekly in-office schedule of Tuesdays, Wednesdays and Thursdays and remote work availability on Mondays and Fridays.Responsibilities:• Build best in class Data platform to ingest, process and store enterprise data for our business teams to gain insights into our data• Contribute to the design, development, and implementation of software and data solutions• Continuously enhance data pipelines through automation, expanded yet increasingly efficient unit testing and increasing test coverage, ultimately optimizing time-to-market and quality• Collaborate with development team in building innovative, event driven, API-first cloud native solutions using AWS platform, Snowflake, Snaplogic, Tableau, Python and Rest APIs• Collaborate with the product area owner, data product leads, Scrum Masters, and development teams to build effective data ingestion and integration pipeline. Mentor new or junior team members and participate in code reviews• Iteratively deliver high quality products to enable our investment business, operations, analytics, and client reportingQualification:• A bachelor’s or master’s degree in computer science or a similar field• Significant experience with data and software engineering experience• Strong skills in ETL/ELT development using Snowflake, DBT, Snaplogic or similar tools (Informatica/Talend)• Strong skills in data modeling, building operational data stores and data warehouses• Strong MDM experience in financial services domain using platforms such as Informatica MDM, or Matrix IDM• Excellent SQL skills, developing SQL stored procedures and functions• Strong programming skills in Python or Java, with a focus on data engineering and data pipeline development• Strong hands-on experience in design, coding, testing, implementation, maintenance, and review• Hands on experience building cloud native applications using AWS• Good hands-on experience with scheduling tools such as Control-M or Autosys• Good communication and interpersonal skills.• Experience working in an Agile environment utilizing agile methodologies (Kanban and SCRUM) is a plus• Experience in building and deploying automation & DevOps frameworks is a plus• Experience in data analytics building reports, dashboards, and visualizations with business intelligence tools such as Tableau or Power BI is a plusCommitted to Meritocracy, Inclusivity and Equal Opportunity Employment:• BlueSkyClarity and our clients are committed to meritocracy, inclusivity and equal opportunity and are proud to be an equal opportunity employer and comply with all applicable federal, state, and local fair employment laws.• We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex (including pregnancy), age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.• This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.• We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.Posted by:• Dom Costagliola, Principal, m View phone number on us.fitly.work, View email address on us.fitly.work•