ZipRecruiter

Log In

1

Overnight Software Engineer Spotify Jobs in Washington

Samsung SDS America

Senior Network Engineer

Rockville, MD · On-site

$106K - $145K/yr

Overnight 1st-Line Responder: Act as the primary, first-line responder for overnight and after ... Oversee Proof of Concept (POC) testing in lab environments for hardware/software validation ...

Samsung SDS America

Senior Network Engineer

Rockville, MD

$106K - $145K/yr

Overnight 1st-Line Responder: Act as the primary, first-line responder for overnight and after ... Oversee Proof of Concept (POC) testing in lab environments for hardware/software validation ...

Samsung SDS America

Senior Network Engineer

Rockville, MD · On-site

$106K - $145K/yr

Overnight 1st-Line Responder: Act as the primary, first-line responder for overnight and after ... Oversee Proof of Concept (POC) testing in lab environments for hardware/software validation ...

Synergy ECP

Network Engineer 24/7 Support

Annapolis, MD · On-site

$250K/yr

The company leverages its expertise in data transport solutions, software and systems engineering ... overnight. We're seeking an experienced Level 3 Network Engineer who is willing to step into a non ...

Ryde Technologies, LLC

Mechanical Engineer

Herndon, VA · On-site

Overnight travel for field surveys, inspections, client meetings, etc. * Proficient with HVAC load ... software, preferably Carrier HAP. * Write/edit/check Masterspec specifications * Write and edit ...

Havtech LLC

Commissioning Engineer

Columbia, MD · On-site

$130K - $150K/yr

Computer Skills: Proficiency in Microsoft Office Suite, Construction Management Software, and ... Travel to be primarily local with limited overnight stays. * No sponsorships are currently offered.

Navstar, Inc.

Network Engineer

Annapolis, MD · On-site

$150K - $240K/yr

Must have at least 5 years of in-depth experience with hardware/software from Palo Alto Systems ... M ust be able to travel up to 25% of the time to local program locations (not overnight)

Navstar Inc.

Network Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $145K/yr

... software from Cisco Systems. • Must have at least 5 years of in-depth experience with hardware ... Additional travel to CONUS and OCONUS location(s) may also be required (overnight). • To be ...

previous pagenext page

Showing results 21-40

All JobsSoftware Engineer Spotify JobsOvernight Software Engineer Spotify JobsOvernight Software Engineer Spotify Jobs in Washington

Overnight Software Engineer Spotify information

What is the difference between Overnight Software Engineer Spotify vs Data Engineer Spotify?

AspectOvernight Software Engineer SpotifyData Engineer Spotify
Primary FocusDeveloping and maintaining software applications during overnight shiftsBuilding and managing data pipelines and infrastructure
Required SkillsProgramming, software development, system troubleshootingSQL, data modeling, ETL processes
Work EnvironmentSoftware development teams, overnight shifts, collaborativeData teams, infrastructure, often flexible hours
Common CertificationsSoftware development certifications (e.g., Java, Python)Data engineering certifications (e.g., AWS, Google Cloud)

While both roles involve technical expertise, the Overnight Software Engineer Spotify focuses on software development during overnight hours, whereas the Data Engineer Spotify specializes in data infrastructure and pipelines. The roles differ in daily tasks but share a need for strong technical skills and industry experience.

What are the most commonly searched types of Software Engineer Spotify jobs in Washington? The most popular types of Software Engineer Spotify jobs in Washington are:
What are popular job titles related to Overnight Software Engineer Spotify jobs in Washington? For Overnight Software Engineer Spotify jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Overnight Software Engineer Spotify jobs in Washington look for? The top searched job categories for Overnight Software Engineer Spotify jobs in Washington are:
What cities in Washington are hiring for Overnight Software Engineer Spotify jobs? Cities in Washington with the most Overnight Software Engineer Spotify job openings:
Overnight Software Engineer Spotify jobs near you
Infographic showing various Overnight Software Engineer Spotify job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Pipeline Engineer with Security Clearance

Kforce Federal Solutions

Washington, DC • On-site

$131K - $157K/yr

Other

Re-posted 17 days ago

Job description

Data Engineer – Pipeline Operations & Incident Response Overview
This role is heavily focused on maintaining and stabilizing large-scale data pipelines in a production environment. The majority of time is spent troubleshooting and resolving issues across existing data workflows rather than building new systems.
Early success in this position looks like gaining enough familiarity with the platform, data flows, and key stakeholders to independently diagnose and resolve pipeline failures across multiple environments. Key Responsibilities Investigate and resolve data pipeline failures across multiple production environments
Perform root cause analysis on data quality and pipeline performance issues
Apply targeted code fixes and adjustments to restore pipeline functionality
Monitor pipeline health and respond to alerts within defined SLAs
Support and maintain existing ETL processes rather than developing new ones
Refactor pipelines to resolve performance issues such as memory constraints or inefficient processing
Coordinate with upstream data providers and internal teams to resolve data ingestion issues
Escalate issues when access, ownership, or dependencies fall outside immediate control Day-to-Day Breakdown ~85–90%: Debugging, incident response, and pipeline issue resolution
~5–10%: Monitoring, validation, and health checks
~5–10%: Minor code updates, optimizations, and pipeline adjustments Work is centered on fixing and stabilizing existing pipelines, not building new ones from scratch. Technical Environment Predominantly batch-based ETL pipelines (incremental processing is common)
High-volume pipeline ecosystem spanning multiple data domains and environments
Mix of code-driven pipelines and low-code/visual pipeline tools
Streaming pipelines are minimal Required Technical Skills Strong experience with large-scale data engineering and ETL/ELT workflows
Proficiency in Python and distributed data processing frameworks (PySpark preferred)
Solid understanding of dataframes and data manipulation at scale
Experience troubleshooting production data pipelines and debugging failures
Knowledge of relational databases and SQL fundamentals
Familiarity with distributed computing concepts Additional Technical Exposure Experience with Java or similar languages (C++ acceptable alternative)
Ability to diagnose and resolve memory/performance issues in distributed jobs
Exposure to visual pipeline tools or data workflow platforms is helpful
Basic understanding of networking concepts and API-based data ingestion Operational Environment Engineers support a large number of pipelines across multiple environments simultaneously
Work is highly reactive, driven by incoming alerts and data incidents
Engineers are expected to quickly assess and troubleshoot pipelines they have not previously worked on
High alert volume, with multiple issues often tied to common root causes Collaboration Frequent interaction with data providers to resolve source data issues
Regular coordination with cross-functional technical teams on pipeline failures
Occasional engagement with end users reporting data discrepancies On-Call & Incident Response Rotating on-call schedule supporting different pipeline groups
Some rotations may include off-hours alerts tied to overnight pipeline processing
Majority of incidents handled during business hours, with occasional escalation scenarios
Engineers are expected to own resolution when possible and coordinate when dependencies exist Ideal Candidate Background Strong foundation in data engineering within production environments
Experience supporting operational data systems rather than purely building new solutions
Comfortable working in high-volume, incident-driven environments
Able to quickly understand and troubleshoot unfamiliar systems
Hands-on experience with distributed data processing and large datasets

Apply