Senior Data Engineer

Dayforce

Senior Data Engineer in a cloud-first engineering team. Working remotely to build and improve data solutions with technologies like Databricks and AWS.

Posted 7/28/2026full-timeRemote • Maryland • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering with a strong focus on Spark, SQL, and Python, while applying engineering best practices such as CI/CD and monitoring. Proven ability to mentor junior team members and maintain operational excellence in data systems.

Highest-signal resume keywords

Data EngineeringSparkSQLPythonCI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSparkSQLPythonCI/CDTestingMonitoringMetrics AnalysisMachine Learning EnvironmentsDatabricks

Soft Skills

MentoringCollaborationProblem Solving

Tools & Technologies

DatabricksSnowflakeBigQuery

Industry Keywords

Operational ExcellenceOn-Call SupportTechnical PartnerData Science

Tech Stack

Tools & technologies

BigQueryPythonSparkSQL

About the role

Key responsibilities & impact

Be a sought-after technical partner who works with product managers and business teams to understand problems and propose solutions
Build high quality solutions that implement engineering best practices
Mentor junior data engineers and analysts, leading by example
Maintain high operational excellence, participating in the team on-call support rotation and constantly improving our systems

Requirements

What you’ll need

5+ years of professional, non-internship experience as a data engineer
Production experience with Databricks, Snowflake, or BigQuery platforms
Senior-level experience with engineering practices (CI/CD, testing, monitoring, and metrics analysis)
Highly proficient in Spark, SQL, Python (will be tested)
Be able to travel to one of our warehouse locations 2-3 times per year
BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
Authorized to work in the United States for any employer
Preferred: Experience setting up ML environments for data science experiments
Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of employment Visas at this time.

Benefits

Comp & perks

Prolonged periods of sitting: The role requires working at a desk and using a computer for extended periods.
Manual dexterity: Frequent use of hands and fingers to handle or operate office equipment, such as keyboards, phones, and copiers.
Visual acuity: Ability to read documents, spreadsheets, and computer screens for prolonged periods.
Occasional standing, walking, and reaching: May be required to move about the office, retrieve files, or attend meetings.
Lifting and carrying: Ability to lift and carry items weighing up to 15 pounds (e.g., office supplies, documents).
Hearing and speaking: Clear and effective communication in person and via phone or virtual platforms.
Minimal physical exertion: The role primarily involves sedentary work, with occasional physical activity as needed.