Data Engineer
Data Engineer
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Job Description
Why Ryan
Hybrid Work Options
Award-Winning Culture
Generous Personal Time Off (PTO) Benefits
14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
Benefits Eligibility Effective Day One
401K with Employer Match
Tuition Reimbursement After One Year of Service
Fertility Assistance Program
Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service
Duties and Responsibilities aligned with Key Results:
People
Use a variety of programming languages and tools to develop test and maintain data pipelines within the Platform Reference Architecture.
Working directly with management product teams and practice personnel to understand their platform data requirements
Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers co-workers and supervisors
Developing and engaging with team members by creating a motivating work environment that recognizes holds team members accountable and rewards strong performance
Fostering an innovative inclusive and diverse team environment promoting positive team culture encouraging collaboration and self-organization while delivering high quality solutions
Client
Collaborating on an Agile team to design develop test implement and support highly scalable data solutions
Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences
Analyzing user feedback and activity and iterate to improve the services and user experience
Value
Securing data in alignment with internal information and data security policies best practices and client requirements
Creating and implementing robust cloud-based data solutions that scale effectively and provide powerful experiences for both internal teams and clients
Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed elegantly coded and effectively tuned for performance
Staying on top of tech trends experimenting with and learning new technologies participating in internal & external technology communities and mentoring other members of the engineering community
Perform other duties as assigned
Education and Experience
Bachelors or Masters degree in Computer Science Engineering Information Systems or a related field
3 years of experience developing data technologies and deploying ETL/ELT solutions in production
3 years of hands-on work with cloud-based data servicespreferably Azure (Data Factory ADLS) or AWS
3 years of experience building and optimizing pipelines on Azure Databricks (Spark Delta Lake) or equivalent platforms
3 years developing backend or data-wrangling solutions in Python Scala or similar
Experience operating in mixed Windows/Linux environments
Additional Required Skills and Experience
Proven track record of exceeding goals and making sound decisions through analysis experience and judgment
Fluency with one or more database technologies (relational and/or NoSQL)
Familiarity with distributed data platforms (e.g. Spark Hadoop)
Exposure to AI/ML pipelines and model operationalization workflows
Experience deploying monitoring and maintaining Databricks-based data pipelines in production
Strong commitment to diversity accountability transparency and ethics
Excellent communication skills and ability to collaborate cross-functionally in an agile environment
Computer Skills:
To perform this job successfully an individual must have intermediate knowledge of Microsoft Project Word Excel Access PowerPoint Outlook and Internet navigation and research.
Supervisory Responsibilities:
None
Work Environment:
Standard indoor working environment.
Occasional long periods of sitting while working at computer.
Must be able to lift carry push or pull up to 30 lbs.
Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.
Independent travel requirement: As Needed
#DICE
Equal Opportunity Employer: disability/veteran
Employment Type
Full-Time
