Top 512 data engineer Jobs in remote ;

Senior Data Engineer | Remote
TalentBurst, Inc. —Reston, VA
- Contract
- Remote
- Computer science
- Computer Science
- Bachelor of Science
- Health insurance
- Dental insurance
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1d
Cloud Software Engineer – Azure / Data Transport
Elevate Technology Solutions —Orlando, FL
- Full-time
- Remote
- Azure
- Computer Science
- System design
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Data Engineer - AI Trainer
DataAnnotation —Seattle, WA
- $50 - $100 an hour
- Contract
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Senior Bioinformatics Data Engineer
Kaztronix —Wilmington, DE
- Contract
- Remote
- Background check
- Computer Science
- 5 years
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Senior Data Engineer
Impact Consulting Solutions, Inc. —Remote
- $128,253.60 - $154,455.95 a year
- Full-time
- Remote
- SQL
- JavaScript
- Scripting
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9d
Data Engineer (Machine Learning)
Diligent Tec Inc —Austin, TX
- $30 - $40 an hour
- Contract
- Remote
- Computer Science
- Bachelor of Science
- System design
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Data Analytics Engineer I
dv01 —Orlando, FL
- $100,000 - $110,000 a year
- Remote
- Java
- Entry level
- Health insurance
- Dental insurance
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GCP Data Engineer - W2/Remote
Tricon Solutions —Secaucus, NJ
- $45 - $50 an hour
- On call
- Remote
- SQL
- Mentoring
- Scripting
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Remote Data Engineer
Edgesource —Alexandria, VA
- Full-time
- Remote
- Computer Science
- Bachelor of Science
- Mid-level
Data Engineer - Remote
Mindex —Rochester, NY
- $90,000 - $140,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Bachelor of Science
- Health savings account
- AD&D insurance
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7d
Data Engineer
Chord Commerce, Inc —New York, NY
- $140,000 - $180,000 a year
- Full-time
- Remote
- System design
- SQL
- Machine learning
- Health insurance
- Paid time off
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Data Engineer (Remote / Contract)
Verve —New York, NY
- $30 - $50 an hour
- Contract
- Remote
- Mid-level
- SQL
- AWS
Data Engineer
Reveel —Irvine, CA
- $115,000 - $150,000 a year
- Full-time
- Remote
- Computer Science
- Mid-level
- SQL
Quick Apply
Software / Data Engineer (1466) (Remote)
Zapata Technology —Augusta, GA
- $110,000 - $135,000 a year
- Full-time
- Remote
- Mid-level
- SQL
- AWS
Senior Data science Engineer - Remote
RapidSoft Corp —Reston, VA
- Contract
- Remote
- Computer science
- Computer Science
- 5 years
Quick Apply
Data Engineer
FSAStore.com —Dallas, TX
- $105,000 - $140,000 a year
- Remote
- Computer Science
- Mid-level
- 1 year
- Paid parental leave
- Health savings account
Sr Data Engineer
Pediatric Associates —Plantation, FL
- Full-time
- Remote
- DevOps
- Master's degree
- Bachelor's degree
Data Engineer
SOSi —Reston, VA
- Full-time
- Remote
- Microsoft Excel
- Computer Science
- Mid-level
Quick Apply
Data Engineer
EVERYTABLE, PBC —Los Angeles, CA
- $115,000 - $150,000 a year
- Full-time
- Remote
- Mid-level
- Analysis skills
- 2 years
- Paid holidays
- Health insurance
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Data Engineer (6479)
MetroStar —Tampa, FL
- $92,000 - $109,000 a year
- Full-time
- Remote
- Computer Science
- SQL
- Machine learning
- Paid training
- Paid holidays
Quick Apply

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Senior Data Engineer | Remote

TalentBurst, Inc. -
Reston, VA

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Job Details

Contract
1 day ago

Benefits

Health insurance
Dental insurance
Vision insurance

Qualifications

Data integrity assurance
Data model design
Athena
Computer science
Cloud analytics services
Software engineering
Databricks
Data modeling
Data visualization software proficiency
Data transformation pipeline development
Defect resolution root cause analysis
Data analysis reporting
Computer Science
Incident management
Engineering development testing
Cloud data warehouses
Data validation techniques
Tooling
Team leadership
Technical documentation
Software deployment
Bachelor of Science
Defect analysis
Engineering
IT quality control
Automation software
Spark
Business intelligence report generation
AI platforms (beyond public GPTs)
Technical report writing

Full Job Description

Position: Senior Data Engineer
Duration: 6+ Months Contract (Extension highly possible)
Location: 100% Remote - available for EST business hours

Team: DAP Reporting is responsible for reports, analytics data on the digital test administration. Interflow works on generating reports for all the digital test administration. These reports are used to understand the health of the administration and report stats for leadership. This team is responsible for providing live reports to check on the status of the exams and provide canned post admin reports to analyze the admins in detail.

Profile: You will work closely with Architects and leads in the Interflow team, key business stakeholders including program staff to support the organizations effort in the areas of data Analysis and information management. You should have strong experience in writing super complex SQL queries to extract data for reports. Candidate should have experience working with large set of data. These reports are very critical for the company, and we are looking for an expert who is capable of handling, consuming and extracting large sets of data for analysis and reports.

Job Description:
We use Tableau and Quicksight for Data Analysis; Apache Spark for Big Data Processing; and you should have used at least one AI tool: Amazon Q; Google Cloud AI; Google Cloud Smart Analytics; Tableau AI

About the Team
Client Technology teams have a key role to play in the organization's ability to deliver against its strategic priorities. We are committed to remaining current with new technologies, and this requires a focus on learning and development. We challenge all engineers to keep learning because we know technology will not stop changing, and we are committed to supporting this growth

About the Opportunity
As a Senior Data Engineer, you'll help ensure that the data powering our products, reporting, and operational workflows is accurate, complete, timely, and trustworthy. You'll design and implement data quality checks, monitoring, and remediation processes across pipelines and platforms, working closely with engineers, analysts, product teams, and business stakeholders. Your work will help identify issues early, reduce operational risk, and improve confidence in the data used to support critical decisions and digital assessment experiences. This role blends hands-on technical investigation, automation, and cross-functional collaboration.

In this role you will:
Data Quality Engineering & Monitoring (45%)

Design and implement automated data quality checks for completeness, accuracy, consistency, freshness, and schema integrity across critical datasets and pipelines.

Build monitoring, alerting, and observability solutions to detect anomalies, pipeline failures, data drift, and unexpected changes before they impact downstream consumers.

Develop and maintain reconciliation processes across source systems, transformed datasets, reports, and operational outputs.

Partner with engineers and analysts to define quality rules, acceptance criteria, and data validation requirements for new and existing systems.

Create reusable frameworks, scripts, and tooling for profiling, testing, and validating data in production and non-production environments.

Investigation, Analysis, & Remediation (35%)

Investigate data issues by tracing data across systems, transformations, and business workflows to identify root causes and recommend fixes.

Use SQL, Python, and cloud data tools to analyze large datasets, isolate anomalies, and validate business logic.

Support incident response and issue resolution for data-related production problems, especially during high-priority operational periods.

Work with cross-functional teams to remediate defects, improve upstream processes, and reduce recurrence of common data issues.

Communicate findings clearly to both technical and non-technical stakeholders, including issue summaries, remediation recommendations, and quality trends.

Governance, Documentation, & Team Success (20%)

Document data definitions, validation logic, lineage, quality rules, and remediation procedures to improve transparency and operational readiness.

Contribute to best practices for testing, version control, deployment, and ongoing maintenance of data quality solutions.

Participate in Agile ceremonies, code reviews, and team planning, helping break work into manageable tasks and improve team productivity.

Support the development of standards for data governance, ownership, and operational excellence across the team.

Partner with stakeholders to improve trust in shared data assets and ensure quality considerations are built into delivery from the start.

About You

BS degree in Engineering, Computer Science, or related field / equivalent experience

10 years of general experience in quality testing

Strong SQL skills and experience writing complex queries to analyze, validate, and troubleshoot data across multiple systems.

Professional experience in data engineering, analytics engineering, data quality, software Engineering, or a related field with a strong focus on data investigation and validation.

Exposure to AI-assisted development tools (e.g., GitHub Copilot, Claude) and hands-on experience applying to build and deploy AI agents that automate data pipelines, write code and testing workflows.

Experience working with cloud data platforms and tools such as AWS, Redshift, Athena, Snowflake, Databricks, or similar technologies.

Proficiency in Python or type script language used for automation, testing, and data analysis.

Experience designing or maintaining data quality checks, monitoring, alerting, or observability processes for production datasets or pipelines.

Strong understanding of data structures, data modeling, transformations, lineage, and common sources of data defects.

Ability to investigate issues across systems, apply business logic, and translate ambiguous problems into structured analysis and action.

Experience working with BI/reporting tools such as Tableau, QuickSight, or similar platforms is helpful.

Strong communication, documentation, and collaboration skills, with the ability to work effectively across technical and non-technical teams.

A learner's mindset, curiosity about emerging technologies and AI-enabled tools, and a drive to improve systems and processes continuously.

Ability to support high-priority operational periods and respond effectively to production data issues when needed.

Strong interpersonal and consultative skills.

Highly self-motivated and directed, with keen attention to detail.

Strong leadership skills and customer satisfaction orientation.

#TB_OTH
#TB_ZR
#Linkd

Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.

Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.

We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.

TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.

Quick Apply

Refine Your Search

data engineer jobs in remote ;

Senior Data Engineer | Remote

Cloud Software Engineer – Azure / Data Transport

Data Engineer - AI Trainer

Senior Bioinformatics Data Engineer

Senior Data Engineer

Data Engineer (Machine Learning)

Data Analytics Engineer I

GCP Data Engineer - W2/Remote

Remote Data Engineer

Data Engineer - Remote

Data Engineer

Data Engineer (Remote / Contract)

Data Engineer

Software / Data Engineer (1466) (Remote)

Senior Data science Engineer - Remote

Data Engineer

Sr Data Engineer

Data Engineer

Data Engineer

Data Engineer (6479)

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