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Summer Real Data Entry Jobs in Reston, VA (NOW HIRING)

Your mission will be to enhance and optimize data entry, management and extraction within this ... Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue ...

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue ...

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue ...

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue ...

Associate Revenue Analyst

Bethesda, MD · On-site

$60K - $65K/yr

... data entry, maintaining unit rent records and ensuring compliance with internal and Fair Housing ... Multifamily real estate background preferred but not required. * Experience with property ...

Scanning Operator

Chantilly, VA · On-site

$18 - $21/hr

Reliable, punctual, and able to commit to a summer schedule * Basic computer skills (file management, data entry, software use) * Experience with imaging software (Adobe Photoshop or similar product)

Real rewards for real work: We offer generous compensation packages that recognize hard work and ... Provide data entry support in actioning of rate setup change requests as approved by team ...

Specimen Processor

Chantilly, VA · On-site

$17.75 - $25/hr

Data entry of patient information in an accurate and timely manner * Resolve and document any ... a real difference, apply today! Labcorp is proud to be an Equal Opportunity Employer: Labcorp ...

The ideal candidate possesses strong data entry and reporting experience, excellent communication ... ABM serves a wide range of market sectors including commercial real estate, aviation, education ...

Showing results 41-60

Summer Real Data Entry information

See Reston, VA salary details

$11

$20

$29

How much do summer real data entry jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for summer real data entry in Reston, VA is $20.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the summer real data entry position?

To thrive as a Summer Real Data Entry specialist, you need strong attention to detail, fast and accurate typing skills, and basic proficiency with spreadsheets and office software. Familiarity with data entry systems such as Microsoft Excel, Google Sheets, or company-specific databases is commonly required, while formal certifications are rarely needed for entry-level roles. Excellent time management, reliability, and the ability to follow instructions make candidates stand out. These skills and qualities are important to ensure accuracy, efficiency, and the timely completion of data-driven tasks essential to business operations.

What is a summer real data entry?

A Summer Real Data Entry job is a seasonal position where you input, update, and manage data in digital systems. Tasks may include entering customer information, organizing spreadsheets, and verifying data accuracy. These roles are common in industries like finance, healthcare, and retail, where temporary help is needed for increased workloads. Strong attention to detail, typing skills, and familiarity with data management software are often required. This job is ideal for students or individuals seeking temporary employment during the summer months.

What does a summer real data entry do?

In a Summer Real Data Entry position, your day usually involves entering and updating data into spreadsheets or databases, checking documents for accuracy, and organizing digital files as needed by your team or supervisor. You may also collaborate with other team members to clarify information or ensure consistency across data sets. The role often includes repetitive tasks, but attention to detail, efficiency, and adaptability are highly valued. While most of your work is individual and computer-based, clear communication is important for following instructions and meeting deadlines. You can expect structured hours, and support is generally available from supervisors or more experienced staff.

What are popular job titles related to Summer Real Data Entry jobs in Reston, VA?

For Summer Real Data Entry jobs in Reston, VA, the most frequently searched job titles are:

Infographic showing various Summer Real Data Entry job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,139 per year, or $20.3 per hour.

Senior Data Engineer

SteerBridge

Vienna, VA

$135K - $160K/yr

Full-time

Re-posted 7 days ago


Job description

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.
At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Position Overview:

SteerBridge seeks a highly skilled and motivated individual to join our team as a Senior Data Engineer to align data solutions to business requirements by planning and managing data infrastructure and strategy for our AI/ML Maintenance, Sustainment, and Deployment Planning Project. Our team is dedicated to harnessing the power of AI/ML to increase parts availability and reduce maintenance wait times, ultimately maximizing aircraft availability.

In this role, you will be responsible performing Data Engineering tasks within the existing systems of record with multiple databases. Your mission will be to enhance and optimize data entry, management and extraction within this database to ensure its usability within our proprietary system. Data management activities include performing data quality checks, analysis, presenting data and documenting the process. The ideal candidate is a quick learner, curious, innovative, results-oriented and has strong interpersonal skills

Key Responsibilities: 

Data Modeling and Design

  • Advanced data modeling (conceptual, logical, and physical) with emphasis on scalability and maintainability.
  • Strong understanding of database paradigms (relational, NoSQL, graph, time-series, and document-based).
  • Expertise with modern data warehousing platforms (Redshift, Snowflake, BigQuery).
  • Deep understanding of dimensional modeling (star/snowflake schemas) and data vault techniques.
  • Experience designing for both OLTP and OLAP workloads.
  • Proficiency with schema evolution, metadata-driven pipelines, and data versioning strategies.
  • Implementing data retention, archival, and lifecycle policies.
  • Project Experience:
  • Delivered optimized, production-grade data models supporting analytics, reporting, and ML workflows, aligning with established architecture and performance standards.

Data Pipeline Development

  • Hands-on experience with distributed processing tools (Apache Kafka, Airflow, Spark, Flink, NiFi).
  • Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue, GCP Dataflow, Azure Data Factory).
  • Deep understanding of incremental processing, idempotency, schema evolution, and backfill logic.
  • Proficient in pipeline automation, observability, and monitoring (metrics, logging, alerting).
  • Strong Python development for ETL — modular, testable, reusable, and performance-optimized.
  • Knowledge of workflow dependency management, retries, and failure recovery strategies.
  • Project Experience:
  • Owned the end-to-end design and implementation of fault-tolerant, high-throughput pipelines integrating diverse data sources while maintaining data quality and SLAs.

Cloud Platforms and Services

  • Deep expertise in AWS, GCP, or Azure data ecosystems.
  • Experience building and managing cloud-native data solutions (Data Lakes, Data Warehouses, Data Mesh).
  • Strong understanding of cloud storage (S3, Blob), managed databases (RDS, DynamoDB), and compute (EMR, Dataproc, ECS).
  • Cost governance and performance optimization for large-scale data workloads.
  • Knowledge of serverless data patterns (AWS Lambda + Athena, GCF + BigQuery).
  • Experience with hybrid/multi-cloud architecture and inter-cloud data movement.
  • Project Experience:
  • Led migration of legacy ETL workflows and data systems to cloud-native architectures, delivering measurable cost, scalability, and performance improvements.

Big Data Technologies

  • Hands-on experience with distributed computing frameworks (Hadoop, Spark, Hive, Presto).
  • Proficiency with data lake and lakehouse architectures (Delta Lake, Apache Iceberg, Apache Hudi).
  • Understanding of partitioning, data compaction, schema evolution, and ACID compliance.
  • Strong knowledge of query optimization on massive datasets (Athena, Trino, Presto).
  • Performance tuning in petabyte-scale distributed systems.
  • Project Experience:
  • Built and maintained data platforms capable of processing structured and unstructured data at scale, enabling advanced analytics and data science workloads.

Database Administration and Optimization

  • Advanced SQL/NoSQL query tuning, indexing, sharding, and partitioning strategies.
  • Proficient with replication, backups, and disaster recovery across distributed systems.
  • Skilled in analyzing query execution plans and applying cost-based optimization.
  • Experience optimizing data-intensive application code and database interfaces.
  • Familiarity with temporal tables, data versioning, and caching strategies.
  • Project Experience:
  • Improved query performance and system scalability through advanced indexing, schema refactoring, and distributed database optimization.

Data Governance and Security

  • Implementing data privacy and compliance frameworks (GDPR, CCPA).
  • Experience with data cataloging, lineage, and metadata management (DataHub, Collibra, Alation).
  • Role-based access control and sensitive data protection across multi-tenant systems.
  • Integration of data quality validation and data contract testing within CI/CD pipelines.
  • Automation of governance and security policies using cloud-native tools.
  • Project Experience:
  • Implemented enterprise-grade data governance and access control frameworks ensuring compliance, lineage visibility, and trust in analytics.

Programming and Software Engineering

  • Strong proficiency in Python and SQL for data processing, automation, and API integration.
  • Expertise in object-oriented programming (OOP) and design patterns in Python.
  • Deep understanding of algorithmic complexity (Big O) and code performance optimization.
  • Familiarity with parallel and distributed computing frameworks (Spark, Dask, Ray).
  • Skilled with version control (Git) and CI/CD tools (GitLab, Jenkins, CircleCI).
  • Proficient in software engineering best practices: testing (pytest/unittest), documentation, type hinting, and linting.
  • Ability to debug, profile, and optimize large-scale data workflows.
  • Project Experience:
  • Developed performant, maintainable Python-based data frameworks, automated ETL systems, and optimized code for distributed workloads.

AI/ML Pipeline Enablement

  • Collaboration with data scientists on feature engineering, data preparation, and model deployment.
  • Knowledge of ML orchestration and experiment tracking (MLflow, Kubeflow).
  • Familiarity with feature stores and data lineage for ML.
  • Integration of batch and streaming data pipelines for real-time inference.
  • Hands-on experience with analytics and visualization tools (Tableau, Power BI).
  • Project Experience:
  • Built and maintained ML-ready data pipelines and infrastructure supporting training, experimentation, and real-time inference.

Leadership and Collaboration

  • Mentoring and guiding junior engineers in data design, coding standards, and performance optimization.
  • Leading cross-functional projects with data scientists, analysts, and business partners.
  • Promoting best practices for data engineering and governance within the organization.
  • Effective stakeholder communication, documentation, and Agile project management.
  • Ability to conduct technical reviews and enforce design and scalability standards.
  • Project Experience:
  • · Provided technical leadership for cross-domain data initiatives, fostering best practices in data engineering and enabling scalable, maintainable systems.

Required Qualifications:

  • Must be a U.S. Citizen.
  • Bachelor’s Degree or Above in Systems Engineering, Computer Science or related field.
  • An active security clearance or the ability to obtain one is required.
  • Minimum 6+ years of experience to include:
  • Experience in data pipelines, utilizing advanced analytics tools and platforms and Python.
  • Experience in scripting, tooling, and automating large-scale computing environments.
  • Extensive experience with major tools such as Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git; Minor experience with TensorFlow, PyTorch, and Scikit-learn.
  • Location: Preferred local to the Vienna, Va area and able to work on-site at our Vienna, VA office (3 or more days/week). Hybrid opportunities at supervisors' discretion. 

Preferred Qualifications:

  • DevOps/DataOps: Infrastructure as code, Docker/Kubernetes, automated deployment of data infrastructure.
  • Testing & CI/CD: Git-based workflows, automated integration testing, and continuous delivery for data pipelines.
  • Performance & Cost Optimization: Tuning query execution, pipeline efficiency, and resource utilization.
  • Automation: Building self-healing data pipelines with retry logic, monitoring, and alerting.
  • Documentation: Strong communication of technical architecture using tools like Lucidchart, PlantUML, or Draw.io.
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays

A salary commensurate with background and experience will be offered. 

SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

If you would like information about how your application is processed, please contact us.