Tax USA
Data Engineer
role at tax.com As a Data Engineer on our Data Science team, you will design, build, and maintain the data pipelines and models that power our AI/ML solutions. Youll collaborate closely with business stakeholders to understand source schemas and translate them into a Common Data Model (CDM). Your work will ensure high-quality, well-structured data flows from ingestion through transformation to downstream consumption by data scientists and applications. Benefits 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
Why Tax.com
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
Responsibilities
Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture. Work directly with management, product teams and practice personnel to understand their platform data requirements. Maintain a positive work atmosphere by communicating in a manner that encourages productive interactions with customers, co-workers and supervisors. Develop and engage with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance. Foster an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions.
Qualifications 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, Java, .NET, 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
Equal Opportunity Employer: disability/veteran #J-18808-Ljbffr
role at tax.com As a Data Engineer on our Data Science team, you will design, build, and maintain the data pipelines and models that power our AI/ML solutions. Youll collaborate closely with business stakeholders to understand source schemas and translate them into a Common Data Model (CDM). Your work will ensure high-quality, well-structured data flows from ingestion through transformation to downstream consumption by data scientists and applications. Benefits 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
Why Tax.com
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
Responsibilities
Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture. Work directly with management, product teams and practice personnel to understand their platform data requirements. Maintain a positive work atmosphere by communicating in a manner that encourages productive interactions with customers, co-workers and supervisors. Develop and engage with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance. Foster an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions.
Qualifications 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, Java, .NET, 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
Equal Opportunity Employer: disability/veteran #J-18808-Ljbffr