Data Engineer (Remote – US)

Job Description

Job Ttitle: Data Engineer (Remote – US)

Company: Jobgether


Description: This position is posted by Jobgether on behalf of Bloomerang. We are currently looking for a Data Engineer in the United States.As a Data Engineer, you’ll be at the forefront of designing and scaling data systems that support intelligent, AI-powered features across a fast-growing nonprofit platform. You will build high-performance pipelines, integrate data from diverse sources, and collaborate with teams to develop insights that empower organizations to make better decisions and maximize their impact. This is a fully remote opportunity with a mission-driven team focused on innovation, purpose, and continuous learning.Accountabilities:

• Design and develop scalable data pipelines using Google BigQuery to unify data across product lines.
• Build comprehensive data models to surface key metrics on nonprofit performance and health.
• Integrate off-the-shelf AI services and large language models to deliver intelligent data features.
• Work closely with cross-functional teams to gather data requirements and support product initiatives.
• Maintain and scale cloud-based data infrastructure (e.g., MySQL, PostgreSQL) and ensure data reliability.
• Implement automated data validation systems to maintain integrity and accuracy.
• Write and maintain technical documentation for data pipelines, architecture, and AI integrations.
• Translate business objectives into data-driven solutions while optimizing cloud resource usage.

Requirements

• 3–5 years of experience in data engineering, with strong expertise in Google BigQuery (Snowflake or Redshift also a plus).
• Advanced SQL proficiency and strong data transformation and analysis skills.
• Hands-on experience with ETL/ELT tools like Fivetran, Stitch, or Airbyte.
• Familiarity with integrating AI platforms such as OpenAI, AWS Bedrock, or Google Vertex AI.
• Proficiency in Python or similar languages for data manipulation and AI integrations.
• Solid grasp of data modeling, pipeline architecture, and API integrations.
• Strong cloud knowledge (ideally Google Cloud Platform) and familiarity with CI/CD practices.
• Excellent analytical, communication, and problem-solving skills.
• Prior experience in a SaaS environment and/or with AI/ML initiatives is preferred.

Benefits

• Salary Range: $92,000 to $138,000 + potential discretionary bonus.
• Health & Wellness: Medical, dental, and vision plans + 24/7 virtual care through HealthiestYou.
• Time Off: 20 PTO days, 3 flex days, 4 volunteer days, 12 paid holidays, and parental leave.
• Retirement: 401(k) plan with employer match.
• Remote Equipment: All tools provided and shipped to your home.
• Work Location: Fully remote within the U.S.; Indianapolis residents may work from HQ.
• Equal Opportunity Employer: Committed to diversity, equity, and inclusion.
• Accommodation: Candidates needing assistance in the application process may reach out directly.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.This process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company. All final hiring decisions and follow-up steps (interviews, assessments, etc.) are handled by the company’s internal team.Thank you for your interest!#LI-CL1

Salary: $92000 – 138000 per year

Location: USA

Date: Sat, 19 Jul 2025 22:17:53 GMT


Read More…