Accolade | Sr Data Engineer-(Java/Python/AWS/Spark) - Technical.ly

Sr Data Engineer-(Java/Python/AWS/Spark)

Accolade | Plymouth Meeting, PA | Dev / Eng

Job Description
Perks + Benefits
Company Culture

In the Sr Data Engineer role, as a core member of Accolade’s enterprise data platform team, you will be designing, building and delivering V1 cloud native, service-oriented products to meet the growth trajectory of the company in data ingestion, processing and business intelligence needs. You will work closely with both internal and external stakeholders to gather requirements and translate them into world class software with the latest AWS technologies.

 

A day in the life…

  • Interface with end users to gather, understand and translate requirements into the Agile delivery process
  • Work closely with product owners, designers, other developers, architects, quality engineers, and DevOps to deliver innovative solutions that solve complex healthcare problems
  • Design and implement highly performing EDW components used by internal Operations and Product team
  • Technically lead the design and delivery of complex solutions end to end
  • Manage individual sprint priorities, deadlines, and deliverables
  • Proactively seek to improve engineering principles, processes, tools, and frameworks
  • Build out an Enterprise Data warehouse consuming data from Telephony and CRM systems
  • Build data ingestion engine, data processing using Python, synchronizing data between up and down stream systems; AWS RDS, Dynamo, RedShift, and s3
  • Ensure that we are continuously raising our standard of data engineering excellence by implementing best practices for coding, testing and deploying

In addition to being able to carry out the above responsibilities, we’re looking for someone comfortable working in a fast paced, ever changing environment who has a good deal of experience with data transformation/warehousing/architecture, as indicated by the following attributes

  • 7+ years software development experience
  • BS or MS in Computer Science/Engineering or engineering specific certifications or equivalent degree experience
  • Expert in Relational Data modeling
  • Ability to collaborate with dependent teams, focusing on communication and accountability to deliver system-level solutions.
  • Comfortable working on a high-visibility, high-impact projects.
  • Strong knowledge of Java/Python: scripting languages; Bash, Shell Script
  • Proficiency with Amazon Web Services, particularly s3, RedShift, EC2, RDS, Dynamo
  • Experience with Amazon Web Services, particularly EMR or other cloud platform services
  • Experience in real stream processing with Spark/Kafka/Kinesis
  • Experience in building and working in a heavy agile, collaborative, innovative, flexible and team-oriented environment
  • Self-driven and ability to lead complex projects
  • Ability to influence others and direction of projects

Desired Personal Characteristics:

  • An excellent leader with a “can-do” attitude
  • Hands-on, detail-oriented, methodical & inquisitive
  • A motivated self-starter with a solid level of experience that quickly grasps complex challenges
  • A skillful communicator with experience working with technical management teams
  • A strong customer focus and metrics driven
  • A quick learner with a passion to challenge him/herself outside of the comfort zone.
  • Fantastic collaborator, team player, negotiator, and influencer
  • Fast fail entrepreneurial and innovative spirit
  • Thrives in a fast-paced environment where continuous improvement is the norm and the bar for quality is extremely high
  • Excited by the challenges of working in a product team undergoing rapid growth serving millions of customers

 

Apply Now
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Health & Wellness Benefits
  • Dental
  • Disability Insurance
  • Health Insurance
  • Life Insurance
  • Onsite Gym
  • Vision
  • Wellness Programs
Other
  • Game Room
  • Work from Home
Parental Benefits
  • Family Medical Leave
  • Flexible Work Schedule
  • Generous Parental Leave
  • Mother Rooms
Perks & Discounts
  • Casual Dress
  • Company Outings
  • Snacks
  • Special Discounts
Professional Development
  • Tuition Reimbursement
Retirement & Stock Options Benefits
  • 401K
Vacation & Time Off Benefits
  • Generous PTO
  • Paid Holidays
  • Paid Sick Days

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