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Evening Data Analyst Opt Jobs in Reston, VA (NOW HIRING)

Corner Alliance

Business Analyst

Washington, DC · On-site

Perform data validation and completeness checks across documents, datasets, and analytic outputs to ... and evening out, regular check-ins for professional growth goals, semi-monthly one on one ...

MELE Associates

Cost Analyst

Washington, DC · On-site

$100/hr

MELE Associates, Inc. is seeking to add an experienced Cost Analyst to support the National Nuclear ... OPT SALARY: Salaries are determined based on several factors including external market data ...

MELE Associates

Cost Analyst

Germantown, MD · On-site

$100/hr

MELE Associates, Inc. is seeking to add an experienced Cost Analyst to support the National Nuclear ... OPT SALARY: Salaries are determined based on several factors including external market data ...

Corner Alliance

Business Analyst

Washington, DC · On-site

Perform data validation and completeness checks across documents, datasets, and analytic outputs to ... and evening out, regular check-ins for professional growth goals, semi-monthly one on one ...

Bridge Defense

Data Engineer

Washington, DC · On-site

$120K - $155K/yr

You will analyze data and systems architecture, create designs, and implement information systems ... Occasionally (as needed) support to off-hours deployment such as evening or weekends. * Co-location:

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All JobsEvening Data Analyst Opt JobsEvening Data Analyst Opt Jobs in Reston, VA

Evening Data Analyst Opt information

See Reston, VA salary details

$35.4K

$86K

$141.5K

How much do evening data analyst opt jobs pay per year?

As of Aug 10, 2026, the average yearly pay for evening data analyst opt in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by evening data analysts, and how can they effectively collaborate with daytime teams?

Evening data analysts often work outside standard business hours, which can create challenges in real-time communication and handoff of tasks with daytime teams. To ensure effective collaboration, it's important to maintain thorough documentation, utilize shared digital tools, and schedule regular check-ins with colleagues during overlapping hours. Many organizations encourage evening analysts to participate in virtual stand-ups or use project management platforms to keep everyone aligned. Proactively communicating findings and clarifying expectations can help bridge any gaps that arise from differing schedules.

What is an evening data analyst opt?

An Evening Data Analyst Opt is a data analyst who typically works evening shifts and may be on Optional Practical Training (OPT), a temporary employment authorization for international students in the U.S. after graduation. Their responsibilities include analyzing data, preparing reports, and providing insights to support business decisions, often during non-traditional hours to accommodate business needs or global operations. The 'OPT' designation indicates they are likely recent graduates working in their field of study as part of their visa requirements.

What is the difference between Evening Data Analyst Opt vs Evening Data Analyst?

AspectEvening Data Analyst OptEvening Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentPart-time evening shifts, often in corporate or tech settingsPart-time evening shifts, typically in corporate or tech industries
Employer UsageUsed by companies seeking flexible data analysis support during eveningsCommonly used by organizations requiring after-hours data processing

Both roles involve analyzing data during evening hours with similar credentials and work environments. The main difference is that "Opt" indicates a flexible or optional shift, often part-time, while the standard "Evening Data Analyst" may be a regular scheduled role. Understanding these distinctions helps job seekers target the right position based on their availability and career goals.

What are the key skills and qualifications needed to thrive as an evening data analyst, and why are they important?

To thrive as an Evening Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like SQL, Excel, Python, or business intelligence platforms, along with knowledge of data visualization software, is crucial. Attention to detail, strong problem-solving abilities, and effective communication are essential soft skills for this role. These skills enable accurate data-driven insights, efficient workflow during evening shifts, and clear reporting to stakeholders.
What are popular job titles related to Evening Data Analyst Opt jobs in Reston, VA? For Evening Data Analyst Opt jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Evening Data Analyst Opt jobs in Reston, VA look for? The top searched job categories for Evening Data Analyst Opt jobs in Reston, VA are:
What cities near Reston, VA are hiring for Evening Data Analyst Opt jobs? Cities near Reston, VA with the most Evening Data Analyst Opt job openings:
Evening Data Analyst Opt jobs near you
Infographic showing various Evening Data Analyst Opt job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,975 per year, or $41.3 per hour.

Data Engineer

Syntelligent Analytic Solutions

Washington, DC • On-site

$145K - $155K/yr

Full-time

Re-posted 27 days ago

Job description

Overview
Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers' management and technical requirements in the intelligence, defense, homeland security and commercial market space.
Our customers' and Syntelligent's success are built upon the core values of People First, Integrity & Accountability, Mission Driven, Community Focus and Team Oriented.
Responsibilities
Syntelligent is seeking a Data Engineer to support a Government Customer
Location: Nebraska Avenue Complex / 3801 Nebraska Ave NW, Washington, D.C.
Shift: Day
Anticipated Salary Range: $160,000-170,000
Status: Full-Time/ On-site
Opening Type: Immediate
Number of Openings: 1
Duties will include:
As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions.
Duties:
  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Develop and design data pipelines to support an end-to-end solution.
  • Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).
  • Integrate data pipelines with AWS cloud services to extract meaningful insights.
  • Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues.
  • Design and develop robust and functional dataflows to support raw data and expected data.
  • Provide Tier 3 technical support for deployed applications and dataflows.
  • Define and communicate a clear product vision for our client's software products, aligning with user needs and business objectives.
  • Create and manage product roadmaps that reflect both innovation and growth strategies.
  • Partner with a government product owner and a product team of 7-8 FTEs.
  • Collaborate with the rest of data engineering team to design and launch new features.
  • Coordinate and document dataflows, capabilities, etc.
  • Occasionally (as needed) support to off-hours deployment such as evening or weekends.

Qualifications:
  • Bachelor's degree or equivalent practical experience.
  • Expertise in distributed computing frameworks to handle large-scale data processing.
  • Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.
  • Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.
  • Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.
  • Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka.
  • Familiar with Linux/Unix server environments.
  • Experience with Agile development methodology.
  • Publishing and/or presenting design reports.
  • Coordinating with other team members to reach project milestones and deadlines.
  • Working knowledge with Collaboration tools, such as, Jira and Confluence.

Preferred Qualifications:
  • Master's degree or equivalent experience in a related field.
  • Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
  • Familiarity and experience with the Department of Homeland Security (DHS).
  • Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred).
  • Experience with cloud message APIs and usage of push notifications.
  • Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.
  • Working knowledge with public keys and digital certificates.
  • Experience with DevOps environments.
  • Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
  • Experience with cloud message APIs and usage of push notifications.
  • Specialization in Object Oriented Programming languages, scripting, and databases.

Clearance: TS/SCI
Certification Requirement: none
Physical Requirements: Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally.
Mental Requirements: Must be able to multi-task and rapidly change priorities with limited notice.
Online applications, please.
When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you.
Syntelligent Analytic Solutions, LLC is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation and gender identity or expression, national origin or protected veteran status and will not be discriminated against on the basis of disability. If you are a qualified disabled veteran or individual with a disability and need reasonable accommodation to use or access our online system, please contact our Human Resources at 540-736-4570.

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