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Evening Data Analyst Jobs in Silver Spring, MD (NOW HIRING)

... through event data and activity logs, developing alarms for suspicious or malicious activity ... The shift is day, evening, or night shift. * Monitor, protect, and defend the enterprise perimeter ...

... through event data and activity logs, developing alarms for suspicious or malicious activity ... The shift is day, evening, or night shift. * Monitor, protect, and defend the enterprise perimeter ...

... through event data and activity logs, developing alarms for suspicious or malicious activity ... The shift is day, evening, or night shift. * Monitor, protect, and defend the enterprise perimeter ...

Data Engineer (22709)

Arlington, VA · On-site

$150K - $174K/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. * Must be a U.

Data Engineer with TS/SCI

Washington, DC · On-site

$140K - $170K/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. Requirements

Data Engineer with TS/SCI

Washington, DC · On-site

$140K - $170K/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. Requirements

Analyzing and interpreting program output data associated with office accomplishments and ... and evening out, regular check-ins for professional growth goals, semi-monthly one on one ...

Showing results 21-40

Evening Data Analyst information

See Silver Spring, MD salary details

$35.1K

$85.4K

$140.6K

How much do evening data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for evening data analyst in Silver Spring, MD is $85,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

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

AspectEvening Data AnalystNight Data Analyst
Work HoursTypically 4-8 PM or 3-11 PM shiftsUsually 11 PM-7 AM or 12 AM-8 AM shifts
Required SkillsData analysis, reporting, proficiency in SQL and ExcelSimilar skills, with added emphasis on overnight system monitoring
Work EnvironmentOffice or remote during evening hoursOften in data centers or 24/7 operations
Industry UsageFinance, healthcare, retailIT, telecommunications, logistics

While both roles involve data analysis skills and similar tools, the main difference lies in their shift timings and work environments. Evening Data Analysts typically work during evening hours in office settings, whereas Night Data Analysts often work overnight shifts, sometimes in data centers or 24/7 operations. Understanding these differences helps candidates choose roles aligned with their schedules and industry preferences.

What is an evening data analyst?

Evening Data Analysts are professionals who work during evening hours to collect, process, and analyze data for organizations. Their primary responsibilities include preparing reports, identifying trends, and supporting data-driven decision-making after regular business hours. This role is especially important for businesses that operate globally or need round-the-clock data monitoring. Evening Data Analysts often collaborate with other teams to ensure timely and accurate delivery of insights. They typically use analytical tools and software to manage large datasets and provide actionable recommendations.

What are some common challenges faced by evening data analysts, and how can they be effectively managed?

Evening Data Analysts often work outside traditional business hours, which can lead to challenges such as limited real-time collaboration with daytime team members and the need to independently resolve urgent data issues. To manage these challenges, it’s helpful to establish clear communication protocols, document processes thoroughly, and leverage collaborative tools to stay connected with colleagues. Additionally, understanding shift-specific priorities and maintaining a healthy work-life balance are crucial for long-term success in this role.

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

To excel as an Evening Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and statistical software like Python or R is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with teams and conveying insights. These competencies ensure accurate data-driven decisions, efficient workflow during evening hours, and valuable support for organizational objectives.
What are the most commonly searched types of Data Analyst jobs in Silver Spring, MD? The most popular types of Data Analyst jobs in Silver Spring, MD are:
What are popular job titles related to Evening Data Analyst jobs in Silver Spring, MD? For Evening Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Evening Data Analyst jobs in Silver Spring, MD look for? The top searched job categories for Evening Data Analyst jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Evening Data Analyst jobs? Cities near Silver Spring, MD with the most Evening Data Analyst job openings:
Infographic showing various Evening Data Analyst job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,431 per year, or $41.1 per hour.

Data Engineer with Security Clearance

Syntelligent Analytic Solutions, LLC

Washington, DC • On-site

$129K - $155K/yr

Other

Re-posted 23 days ago


Job description

Position:  Data EngineerLocation:  Washington, DC 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. Apply for this Position