Senior Data Operations Engineer

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The Company

 Abacus allows healthcare companies to unlock the value of their data by removing the burden of maintaining and updating an enterprise data management platform. We provide a flexible, efficient, and secure platform that organizes and exchanges data from various sources and formats, allowing healthcare companies to uncover differentiated insights that address their customer’s needs.

The Role

 As a senior member of our Data Operations team you will perform the following functions and services configure and manage to data ingestion and consumption pipelines and processes. Other responsibilities will include:

  • Monitor and manage health, efficiency, and effectiveness of data ingestion and consumption pipelines and processes.
  • Monitor data ingestion and consumption pipelines and programmatic processes.
  • Identify and mitigate availability, performance, exceptions in collaboration with engineering.
  • Plan and execute on data service requests.
  • Interface directly with clients and manage data operations service levels.
  • Maintain consolidated client views and control of all data from all data sources covering different ingestion and consumption pipelines and connectors.
  • Improve data quality and consistency.
  • Manage costs incurred through data pipelines, consumption, and analytics to ensure effective delivery of data within cost and budgetary guidelines, mitigating expensive data movement, re-processing, and unnecessary processes.
  • Provide data compliance and governance across the client data pipelines.
  • Collect, consolidate, manage, and communicate key performance indicators (KPIs) and time-series trends.

You should expect to….

  • Establish and evolve Data Operations operational model, playbooks, and processes
  • Staff, and continue to grow our Data Operations function
  • Leverage AWS cloud native capabilities to enable and orchestrate Data Operations activities
  • Focus on automation and scaling of Data Operations functions to gain efficiencies and mitigate manual labor activities over time
  • Define our key performance indicators and dashboards to track execution over time
  • Define the governance and compliance criteria and incorporate into Data Operations processes
  • Collaborate with client services teams and their clients and support the client user acceptance and warranty period for delivered data ingestion and consumption pipelines and processes
  • Monitor and manage data ingestion and client pipelines and processes, addressing issues and exceptions, and align to SLAs
  • Perform Data Operations service requests for clients
  • Troubleshoot, identify root causes, and remediate Data Operations issues that surface in data ingestion and consumption pipelines
  • Accumulate and manage key performance indicators (KPIs) and align to target expectations
  • Provide client support for Data Operations issues and requests
  • Identify data quality and enrichment patterns to enable consistent and complete data quality in data ingestion and consumption pipelines and processes
  • Work closely with Operations and Security in Data Operations as the data relates to operational and security risks and issues
  • Optimize costs, effectiveness, and efficiency in both the Data Operations system resources for ingestion and consumption and in the team member execution
  • Manage and deliver to established data operations SLAs for customers
  • Create and maintain knowledge base and documentation on Data Operations procedures and related models and activities
  • Stay abreast of evolving practices and models in Data Operations

 The Candidate

 You are excited about building out a SaaS-based and managed Data Operations service and function, energized about working in a Start-up Organization building a cloud-native environment and familiar with cloud platforms, especially AWS. Other experiences will include:

  • Bachelor’s Degree in Computer Science, Information Systems or other related field, and/or equivalent work experience.
  • Proven track record in building and operationalizing Data Operations in a cloud and SaaS-based model
  • At least 5 years of management experience with Data Management/Operations, preferably in healthcare, life sciences, fintech, retail or other data intensive industries
  • At least 5 years of combined IT and Data Operations and Data Integration experience with a broad range of exposure to big data pipelines and cloud solutions (IaaS, PaaS, SaaS) and security services,
  • Working knowledge of security issues, techniques, and implications across computer platforms.
  • Experience analyzing large data sets
  • Experience designing and implementing Data Operations solutions
  • Familiarity with healthcare and life sciences data

The Benefits 

  • Competitive pay and stock options
  • Comprehensive health benefits for you and your family (health, dental, vision)
  • FSA/HSA accounts
  • 401(k) retirement plan options
  • Short and long-term disability, Life and AD&D insurance
  • Pre-tax commuter benefits
  • Unlimited PTO, paid holidays and flex hours
  • Casual dress and fun office atmosphere
  • Twice monthly catered lunches
  • Drinks and snacks stocked weekly
  • Office locations conveniently located near public transportation in Charlestown, MA and New York
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Location

We're in the heart of Boston's Financial District, a short walk to all MBTA bus/train lines, including North & South stations. Shop in the historic Faneuil Hall or visit tasty lunch spots in the North End. We embrace a hybrid working culture; our employees can enjoy the city's hustle or stay home.

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