Job FunctionsDesigning and developing scalable data infrastructure solutionsPrioritizing and solving for client's primary project objectivesDeveloping creative solutions within project constraints
Job RequirementsBachelor's degree in Computer Science, Data Science, or related fieldRelevant technical certifications are preferred10+ years of experience in data environments including data engineering or architectureExperience with orchestration tools like AirFlow, Dagster, Prefect, Azure Synapse, or equivalentExpertise in data ingestion and transformation tools such as SQL, Python, Spark, dbt, or equivalentExperience developing solutions for cloud, hybrid, and on-premise and the ability to adapt to various customer infrastructuresFamiliarity with data governance, security, and compliance best practices
SkillsData engineering or architectureOrchestration tools like AirFlow, Dagster, Prefect, Azure Synapse, or equivalentData ingestion and transformation tools such as SQL, Python, Spark, dbt, or equivalentCloud-based data platformsETL tools, data warehousing, and big data technologiesData governance, security, and compliance best practicesStrong analytical and critical thinking skillsAbility to design and implement scalable data solutionsProficiency in data modeling and database managementStrong attention to detail and data accuracyExcellent communication skills for technical and non-technical stakeholdersSelf-motivated and proactive in seeking clarity and developing effective solutions
Data Engineer – Position Description
JOB OVERVIEW
JOB TITLE
Data Engineer
DIVISION/DEPARTMENT
IT
LOCATION
Remote
REPORTS TO:
Principal Consultant
JOB SUMMARY
ISF is seeking a Data Engineer who can design and develop scalable data infrastructure solutions while sharing ISF’s engineering philosophy of reducing complexity and creating functional solutions in a straightforward manner. The ideal candidate deeply understands the fundamental concepts of data system design, implementation and maintenance and is eager to apply that knowledge to new tools, paradigms, and challenges. The candidate must be able to prioritize and solve for the client’s primary project objectives and develop creative solutions within project constraints.
DUTIES & RESPONSIBILITIES
The Data Engineer will:
- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop and optimize data architectures for access, analytics and reporting.
- Ensure data integrity, security, and compliance aligned with industry best practices.
- Consult with development teams to determine appropriate storage solutions for software development efforts, optimizing for cost, latency, and integration.
- Create end-to-end data pipelines to support model creation, data warehousing, real-time analytics, and machine learning.
- Implement data governance strategies, including data catalog creation, structuring data zones, process orchestration, monitoring, and alerting.
- Automate data workflows and improve data quality processes.
- Manage and optimize databases and cloud-based data platforms.
- Troubleshoot data-related issues and optimize system performance.
- Collaborate with analysts, developers, and business teams to understand data needs.
EDUCATION & CERTIFICATIONS
- Bachelor's degree in Computer Science, Data Science, or related field.
- Relevant technical certifications are preferred.
KNOWLEDGE & EXPERIENCE
Primary Skills
- 10+ years of experience in data environments including data engineering or architecture.
- Experience with orchestration tools like AirFlow, Dagster, Prefect, Azure Synapse, or equivalent.
- Expertise in data ingestion and transformation tools such as SQL, Python, Spark, dbt, or equivalent.
- Experience developing solutions for cloud, hybrid, and on-premise and the ability to adapt to various customer infrastructures. Strong knowledge of ETL tools, data warehousing, and big data technologies.
- Familiarity with data governance, security, and compliance best practices.
- Self-motivated and proactive in seeking clarity and developing effective solutions.
SKILLS & ABILITIES
- Strong analytical and critical thinking skills.
- Ability to design and implement scalable data solutions.
- Proficiency in data modeling and database management.
- Strong attention to detail and data accuracy.
- Ability to work independently and manage multiple priorities.
- Excellent communication skills for technical and non-technical stakeholders.
- Experience with version control (Git) and CI/CD pipelines is a plus.
We are committed to providing equal opportunity in all of our employment practices, including selection, hiring, promotion, transfer, and compensation, to all qualified applicants and employees without regard to age, race, color, sex, religion, national origin, marital status, gender identity or expression, or sexual orientation, disability or any other protected status in accordance with the requirements of all federal, state and local laws.
Life at ISF, Inc.
Thrive Here & What We Value- Fully Remote Work Environment- Professional Development Allowance- Flexibility for Balancing Work with the Rest of Life- Ample PTO- 401K with Company Matching, Financial Planning Education and Resources- Choice of HSA, FSA, Traditional Insurance Options (Medical, Dental, Vision) for Self and Dependents- Engagement with Innovative Technology- Significant Impact on Emergency Response Organizations.
