tax.com

Senior Data Engineer, Python Developer

tax.com

full-time

Posted on:

Location Type: Hybrid

Location: Dallas • Texas • United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AWSAzureCloudETLJavaLinuxNoSQLPythonScala

About the role

  • Identifying, developing, and maintaining the technologies that enable the efficient flow of data throughout the organization.
  • Building out robust, high-performance technology.
  • Using 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 encouraging productive interactions.
  • Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions.
  • Analyzing user feedback and activity and iterating to improve services and user experience.
  • Securing data in alignment with internal information and data security policies.
  • Creating and implementing robust cloud-based data solutions that scale effectively.
  • Performing unit tests and conducting reviews with other team members to ensure solutions are rigorously designed and elegantly coded.
  • Staying on top of tech trends, experimenting with and learning new technologies, participating in technology communities and mentoring other members of the engineering community.

Requirements

  • Bachelor’s and/or Master’s degree in a related field.
  • 7+ years of experience developing data technologies.
  • 7+ years of experience deploying ETL solutions in production environments.
  • 7+ years of experience with cloud-based data services, preferably in AWS or Azure.
  • 7+ years of experience developing Python, Scala, Java, .Net or similar solutions in a backend or data wrangling capacity.
  • 7+ years of experience in mixed Windows/Linux environments.
  • Results-proven track record of exceeding goals.
  • Fluency in one or more databases, preferably relational and NoSQL is a plus.
  • Experience with distributed data platforms is a plus.
  • Exposure to AI/ML pipelines is preferred.
  • Experience deploying, monitoring, and maintaining data pipelines in production environments.
  • Intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.
Benefits
  • Hybrid Work Options
  • Award-Winning Culture
  • Generous Personal Time Off (PTO)
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data technologiesETL solutionscloud-based data servicesPythonScalaJava.Netdatabasesdistributed data platformsAI/ML pipelinesdata pipelines
Soft skills
collaborationcommunicationpositive work atmosphereuser feedback analysismentoringresults-driventeamworkproblem-solvingadaptabilityleadership
Certifications
Bachelor’s degreeMaster’s degree