Data Engineer (Remote-US)

2 hours, 40 minutes ago
Full-time
Mid Level
Software Development
DataKind

DataKind

DataKind is a global nonprofit that uses data science and AI to address social challenges by collaborating with mission-driven organizations to unlock their data potential.

Diversified Consumer Services
51-250
Founded 2012
$2M raised

Description

  • Lead technical onboarding for partner institutions onto UDTS by designing and building integrations, APIs, and data pipelines.
  • Work on-site with institutional data teams to configure and customize dashboards for their workflows and users.
  • Support institutions in securely sharing data and implementing governance protocols.
  • Communicate technical requirements, timelines, and processes clearly with external partners.
  • Design, build, and maintain scalable data pipelines and architectures for education-focused data products.
  • Develop robust APIs and integrations to support data exchange across institutional systems and data providers.
  • Optimize data ingestion, transformation, and validation for reliability, transparency, and performance.
  • Ensure data systems comply with governance, privacy, and security standards.
  • Produce clear, reusable code and documentation for technical and non-technical audiences.
  • Collaborate across engineering, data science, customer success, research, product, and implementation teams to align technical design with user needs.

Requirements

  • Deep alignment with DataKind's mission and commitment to educational equity and data-driven social impact.
  • Degree in Computer Science, Data Engineering, Information Systems, or a related technical field, or equivalent professional experience.
  • At least 4 years of professional experience in data engineering, including client-facing solution architecture or infrastructure design.
  • Advanced proficiency in Python, SQL, and one or more cloud platforms, preferably GCP.
  • Experience with Databricks or comparable data intelligence platforms.
  • Deep understanding of ETL/ELT pipelines, data warehousing, and data orchestration tools.
  • Knowledge of data governance, privacy, and security frameworks in regulated or educational environments.
  • Proven ability to collaborate effectively with data scientists, software engineers, data engineers, data analysts, and product managers.
  • Solid understanding of software engineering principles and the data science project life cycle.
  • Excellent communication skills, including the ability to translate complex technical topics for non-technical audiences.
  • Comfort operating as the primary technical resource in a client setting.
  • Must have a U.S.-based permanent address and be currently authorized to work in the United States full-time indefinitely without employer visa sponsorship.
  • Ability to work primarily between 8am and 6pm Eastern Time and travel across the U.S. about 20% of working days.
  • Preferred experience with education data systems such as SIS, LMS, or student outcome data.
  • Preferred experience building, maintaining, and customizing dashboards for varied end users.
  • Preferred comfort with JavaScript.
  • Preferred experience integrating data from SaaS providers and APIs at scale.
  • Preferred strong technical writing and documentation skills.
  • Preferred familiarity with civic tech, social impact, or nonprofit data ecosystems.

Benefits

  • Salary range of $106,000 to $120,000.
  • Remote work anywhere in the U.S. with flexible scheduling within Eastern Time working hours.
  • Flexible PTO with a minimum of 20 vacation days encouraged annually.
  • Organization-wide recharge days and bi-weekly meeting-free days.
  • 100% employer-paid medical, vision, and dental benefits for employees, with 72% covered for dependents.
  • Wellness reimbursement program.
  • 12 weeks of paid parental leave.
  • Professional development funding each year, plus mentorship and advancement opportunities.
  • 401(k) plan with 5% employer matching.

Interested in this position?

Apply directly on the company website

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