Data and Analytics Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $90k - $105k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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GoEngineer

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1984

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

GoEngineer is a B2B technology and services company that helps engineering, manufacturing, and product design firms stay competitive through technical solutions, software support, hardware sales, and training. With over 40 years in the field, they provide additive manufacturing support, 3D scanning hardware and related services, and application engineering for CAD and engineering software, serving enterprise customers across many industries.

📋 Description

• Own the full data lifecycle from source applications through the data warehouse to business users. • Design, build, and maintain data models, transformations, pipelines, and scheduled processes supporting reporting, analytics, and AI applications. • Manage data integrations between NetSuite, the warehouse, and other enterprise systems, including writing data back to source applications. • Monitor pipelines, warehouse performance, and data flows; resolve data 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 data services and integrations behind AI tools and agents. • Partner with business stakeholders to identify data needs and gaps and translate them into reporting and data solutions. • Analyze underlying business problems and recommend practical solutions. • Communicate scope, timelines, and trade-offs using data to guide recommendations. • Identify and implement improvements to data processes, systems, and workflows collaboratively.

🎯 Requirements

• 2–4 years of experience in data engineering, analytics engineering, or a closely related role; candidates slightly outside that range may be considered 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. • Strong understanding of data quality and downstream impacts of system changes on reporting. • Ability to translate business questions into data requirements, identify gaps, and challenge assumptions constructively. • Clear communication with technical and business stakeholders. • Self-direction and initiative. • Experience in at least 2–3 of the following areas: dbt or another SQL transformation framework; NetSuite or another ERP/CRM such as Salesforce, Dynamics, or SAP; Celigo, Stitch, Fivetran, Azure Data Factory, or Boomi; Python, TypeScript, or PowerShell; Azure services such as Functions, Key Vault, and app hosting, or AWS/GCP equivalents; AI coding assistants or building data access for LLMs.

🏖️ Benefits

• 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.

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