Data and Analytics Engineer

About this opportunity:

At GoEngineer, data connects nearly every part of the business. We’re looking for a Data & Analytics Engineer who wants to understand those connections, improve them, and make sure the data behind our decisions can be trusted.

Reporting to the Manager, Data & Analytics, you’ll work across systems including HubSpot, Shopify, Streamline, NetSuite, and ChurnZero, helping manage the full lifecycle of data from source applications through the warehouse and into the hands of business users.

This is a broad, hands-on role combining data engineering, analytics, systems thinking, and business problem-solving. You won’t spend your days building massive Spark or Snowflake pipelines. Instead, you’ll dig into how systems connect, troubleshoot where data breaks down, improve reliability, and translate real business questions into practical data solutions.

You’ll share ownership of the data environment with the team and grow into primary ownership of key platforms and processes.

This role is fully remote within the United States.

Key Responsibilities:

• Own the full data lifecycle, understanding where data originates, how it changes, and how it moves across business applications and the data warehouse.

• Design, build, and maintain data models, transformations, pipelines, and scheduled processes that support reporting, analytics, and AI applications.

• Manage data integrations between NetSuite, the warehouse, and other enterprise systems, including data written back to source applications.

• Ensure data quality and reliability by monitoring pipelines, warehouse performance, and data flows, and resolving issues at their root cause.

• Support warehouse operations, including job scheduling, access management, storage, and performance optimization.

• Apply source control, testing, documentation, and controlled deployment practices to data code and processes.

• Develop and support the data services and integrations behind AI tools and agents.

• Partner with business stakeholders to understand their questions, identify available data and gaps, and translate needs into practical data and reporting solutions.

• Look beyond the initial request to determine the underlying business problem and recommend solutions that deliver the right outcome.

• Communicate scope, timelines, and trade-offs clearly, using data to guide recommendations and decision-making.

• Identify opportunities to improve data processes, systems, and workflows, collaborating with teammates to turn ideas into practical solutions.

What You Bring:

• 2–4 years of experience in data engineering, analytics engineering, or a closely related role. We’re open to candidates slightly outside that range with the right experience.

• Strong SQL skills, ideally T-SQL with SQL Server or Azure SQL, including stored procedures, query tuning, and working with large datasets.

• Experience with data warehousing and dimensional modeling, including fact and dimension tables, incremental loads, and maintaining historical data through temporal tables or slowly changing dimensions.

• Ability to monitor and troubleshoot warehouse health, including failed jobs, data freshness, and performance issues.

• Working knowledge of Power BI, including building data models and dashboards.

• Experience using Git and pull-request workflows for source control.

• Ability to understand and troubleshoot data flows across interconnected business applications and a central data warehouse.

• A strong understanding of data quality and how changes in one system can affect downstream data and reporting.

• Ability to translate business questions into data requirements, identify gaps, and constructively challenge assumptions when needed.

• Clear communication with both technical and business stakeholders, including explaining recommendations, setting expectations, and recognizing when more information is needed.

• Self-direction and initiative, with the ability to investigate problems, identify improvements, and collaborate with the team to move solutions forward.

We are looking for candidates with the below experience and skills, however, even if you do not meet all the listed requirements, very interested candidates should still apply:

We're also looking for experience in at least 2–3 of the following areas. Comparable tools count; you don't need experience with every tool listed.

• dbt or another SQL transformation framework.

• NetSuite data, or another ERP or CRM such as Salesforce, Dynamics, or SAP.

• Celigo or Stitch, or a similar integration tool such as Fivetran, Azure Data Factory, or Boomi.

• Python, TypeScript, or PowerShell.

• Azure services such as Functions, Key Vault, and app hosting, or AWS or GCP equivalents.

• AI coding assistants or building data access for LLMs.
  

Competitive Compensation Includes:

$90,000 - $105,000 USD

More about what GoEngineer offers:

At GoEngineer, we understand that our value comes from our employees, and we celebrate and respect their unique experiences. We are working to build a culture where both our employees and customers are centered in the work we do, and employees feel welcomed as they are from the first day.

Generous Benefits Include:

• Participation in GoEngineer’s unlimited PTO program from day one of employment.

• 401(k) retirement plan with up to a 6% company match, 100% vested on day one.

• Comprehensive medical coverage, including PPO and High Deductible plans with FSA/HSA options and employer HSA contributions.

• Paid Family Leave, including paid pregnancy disability leave and paid parental bonding leave.

• Employer paid Life Insurance policy, & Short Term, and Long Term Disability insurance, with optional supplemental coverage.

• Dental and Vision insurance

• Mental health, telemedicine with 24/7 access to medical providers, and wellness programs, including virtual therapy, nutrition counseling, and physical therapy.

• Fertility, adoption, and family building benefits.

• Employee Assistance Program (EAP) offering free, confidential counseling and support for mental health, legal, financial, and family needs.

• Optional voluntary benefits, including accident insurance, hospital indemnity, critical illness coverage, identity theft protection, pet insurance, plus student loan repayment and prescription cost savings programs.

To support a fair and efficient hiring process, we may use AI technology to summarize interviews and help our teams review information consistently. AI does not evaluate candidates or make hiring decisions. All decisions are made by our human hiring team.