Senior Data Engineer

Rockville, MD, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
On-site
USD $67.00 - 72.00 per hour
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Job Details

Skills

  • Data Engineering
  • SQL
  • ELT
  • Data Modeling
  • Optimization
  • Authentication
  • Data Validation
  • ROOT
  • Data Analysis
  • KPI
  • Business Rules
  • Analytical Skill
  • Reasoning
  • Conflict Resolution
  • Problem Solving
  • Application Development
  • Dashboard
  • Grafana
  • Microsoft Power BI
  • Trend Analysis
  • Python
  • Dash Python
  • Debugging
  • Code Review
  • Testing
  • Documentation
  • Version Control
  • Mentorship
  • Data Quality
  • JIRA
  • Bitbucket
  • GitLab
  • Jenkins
  • Splunk
  • Cloud Computing
  • Workflow
  • Orchestration
  • Extract
  • Transform
  • Load
  • Productivity
  • DevOps
  • Analytics
  • Privacy
  • Artificial Intelligence
  • Recruiting
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Senior Data Engineer for a CONTRACT assignment with one of our premier Regulatory clients in Tysons, VA or Rockville, MD.

We are looking for a hands-on Senior Data Engineer to develop and maintain an engineering metrics and analytics platform. The platform integrates data from multiple engineering systems, including Jira, Bitbucket, GitLab, Jenkins, deployment systems, and Splunk.
The candidate must be capable of independently understanding complex datasets, building reliable data pipelines, identifying and resolving data quality issues, performing analytics, and delivering dashboards or lightweight applications to present actionable engineering insights.
This is a hands-on engineering role requiring strong technical skills, analytical thinking, ownership, and the ability to guide junior team members.

Required Skills :
  • Ideally 5-8+ years of relevant hands-on experience, with demonstrated senior-level ownership of data engineering and analytics solutions.
Data Engineering
  • Strong Python programming and advanced SQL skills.
  • Experience building ETL/ELT pipelines to integrate multiple data sources.
  • Experience with data transformation, aggregation, data modeling, and pipeline optimization.
  • Knowledge of REST APIs, authentication, pagination, rate limits, and error handling.
  • Experience handling large datasets, incremental loads, and changing source schemas.
Data Quality and Reliability
  • Experience implementing automated data validation and reconciliation.
  • Ability to identify missing, duplicate, inconsistent, and inaccurate records.
  • Experience investigating root causes of data discrepancies.
  • Ability to build data-quality checks, exception reports, monitoring, and alerting.
  • Understanding of data lineage, metric definitions, and data consistency across source systems.
Data Analytics
  • Ability to analyze complex datasets and independently derive meaningful insights.
  • Experience defining and calculating KPIs using clear, consistent business rules.
  • Ability to investigate unexpected metrics and distinguish genuine trends from data issues.
  • Strong analytical reasoning and problem-solving skills.
Dashboard and Application Development
  • Experience developing interactive dashboards using Quick, Grafana, Splunk, Power BI or custom webapp, or a comparable tool.
  • Ability to build appropriate visualizations, filters, drill-downs, and trend analysis.
  • Experience developing lightweight data applications using Python frameworks such as Streamlit or Dash, or an equivalent technology, where required.
Engineering Practices and Ownership
  • Strong debugging, code review, testing, documentation, and version control practices.
  • Ability to work independently with ambiguous requirements and deliver end-to-end solutions.
  • Experience mentoring junior developers and establishing reusable engineering standards.
  • Ability to explain technical findings and data-quality issues clearly to stakeholders.
Preferred Skills :
  • Integration with Jira, Bitbucket, GitLab, Jenkins, Splunk, and deployment systems.
  • Understanding of software delivery lifecycle metrics, including DORA metrics.
  • Experience with cloud platforms, workflow orchestration, and production data pipeline monitoring.
  • Experience supporting engineering productivity, DevOps analytics, or developer experience initiatives.
By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sgainc
  • Position Id: 26-02714
  • Posted 4 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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