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Mid Level Amazon Dsp Jobs in Springfield, VA (NOW HIRING)

Twenty First Systems

Mid-Level java developer

Arlington, VA

$58.75 - $76/hr

JOB TITLE - Mid-Level Java developer Location: Arlington, VA; Bethesda, MD Travel: < 5% Start Date ... Amazon Web Services(AWS) Implementing Database Change processes Linux, Jboss, Tomcat, Mark Logic ...

Twenty First Systems

Mid-Level java developer

Arlington, VA · On-site

$58.75 - $76/hr

JOB TITLE - Mid-Level Java developer Location: Arlington, VA; Bethesda, MD Travel: Start Date ... Experience with Amazon Web Services(AWS) * Implementing Database Change processes * Linux, Jboss ...

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All JobsMid Level Amazon Dsp JobsMid Level Amazon Dsp Jobs in Springfield, VA

Mid Level Amazon Dsp information

See Springfield, VA salary details

$99.2K

$161.1K

$176K

How much do mid level amazon dsp jobs pay per year?

As of Jul 26, 2026, the average yearly pay for mid level amazon dsp in Springfield, VA is $161,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,400.00 and $174,400.00 per year, depending on experience, location, and employer.

Where do DSPs get paid the most?

Mid-level Amazon DSPs tend to earn higher wages in regions with a higher cost of living and greater demand for delivery services, such as urban areas or economically developed states. Compensation can also vary based on experience, shift hours, and company policies, with some locations offering bonuses or incentives for performance. Overall, DSPs generally earn more in areas with competitive labor markets and higher operational costs.

What are Mid Level Amazon DSPs?

Mid Level Amazon DSPs, or Delivery Service Partners, are companies or individuals who operate delivery businesses that contract with Amazon to deliver packages. At the mid-level, these DSPs have typically gained some experience in running their operations, managing a fleet of delivery vans, and leading driver teams. They are responsible for ensuring timely deliveries, maintaining safety standards, and meeting Amazon’s performance metrics. Mid Level DSPs often focus on optimizing their operations and expanding their business within Amazon’s logistics network.

What is the difference between Mid Level Amazon Dsp vs Amazon Delivery Associate?

AspectMid Level Amazon DspAmazon Delivery Associate
CredentialsDriver's license, background check, some delivery experienceValid driver's license, background check
Work EnvironmentOperates delivery vans, manages routes, supervises delivery staffDelivers packages directly to customers, primarily on foot or by vehicle
Employer & IndustryAmazon Logistics, delivery service providersAmazon Logistics, delivery network

Mid Level Amazon Dsp roles typically involve managing delivery routes and supervising delivery staff, requiring some experience and leadership skills. In contrast, Amazon Delivery Associates focus on delivering packages directly to customers, with less managerial responsibility. Both roles require a valid driver's license and background checks, but the Dsp position often involves more operational oversight.

What are some common challenges faced by mid-level Amazon DSP drivers, and how are they typically addressed?

Mid-level Amazon DSP (Delivery Service Partner) drivers often encounter challenges such as navigating tight delivery timelines, adapting to route changes, and managing a high volume of packages, especially during peak seasons. To address these challenges, DSPs provide drivers with route optimization tools, ongoing training, and support from dispatch teams. Additionally, experienced drivers often develop efficient packing and delivery routines, and collaborate with their fellow drivers to share tips and resolve on-the-job issues, fostering a supportive team environment.

What are the key skills and qualifications needed to thrive as a Mid Level Amazon DSP (Delivery Service Partner) driver, and why are they important?

To thrive as a Mid Level Amazon DSP driver, you need a valid driver’s license, a good driving record, familiarity with local routes, and experience in delivery or logistics roles. Competence with handheld delivery devices, GPS navigation systems, and safety protocols is important. Reliability, time management, customer service skills, and the ability to stay calm under pressure help drivers excel. These skills ensure efficient, safe, and accurate deliveries while maintaining a positive customer experience.

How much do Amazon DSPs get paid?

Amazon DSPs (Delivery Service Partners) typically earn between $15 and $25 per hour, depending on location, experience, and performance. Many DSP drivers work full-time or part-time schedules, with some earning additional bonuses or incentives based on delivery volume and efficiency.

Will Amazon pay you $28 an hour to work from home?

Amazon DSP (Delivery Service Partner) drivers typically earn around $15 to $20 per hour, depending on location and experience, and this role usually involves working in a vehicle rather than from home. While some Amazon roles may offer higher pay, most delivery driver positions are not remote and do not pay $28 an hour. Remote customer service or technical roles at Amazon may have different pay scales, but delivery positions generally do not meet that rate.

Is it hard to get into Amazon DSP?

Mid Level Amazon DSP roles typically require relevant experience in digital advertising, programmatic platforms, or logistics, along with strong organizational skills. The application process involves multiple interviews and assessments, making it competitive but achievable with proper preparation and skills. Familiarity with tools like Amazon Advertising Console can be beneficial.
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Mid Level Amazon Dsp jobs near you
Mid-Level Data Scientist

Mid-Level Data Scientist

Simple Technology Solutions

Washington, DC

Full-time

Posted 15 days ago

Job description

At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they're parents, friends, volunteers, artists, and athletes. That's why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.

Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a "Best Place to Work," we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn't a perk—it's the standard.

As a HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!

Simple Technology Solutions is looking for a Mid-Level Data Scientist to add to our team.

Quick Position Overview:

  • US Citizenship is required
  • Bachelor's Degree is required
  • minimum of 3-5 years' position related experience is required

The Role:

STS is looking for a Mid-Level Data Scientist to join a federal data engineering team. You will work on a modern AWS-based federal data platform, building AI/ML capabilities and delivering production-ready analytical products that support critical government decision-making. A curiosity-driven mindset, strong quantitative skills, and the ability to translate analytical outputs into production-ready data products conforming to agency standards are prerequisites for this position.

This position is contingent upon contract award.

The Mid-Level Data Scientist at STS will:

  • Build and maintain knowledge bases, vector stores, and Retrieval Augmented Generation (RAG) pipelines using Amazon Bedrock and Amazon OpenSearch Services to make financial and regulatory datasets AI-ready for advanced analytics and machine learning consumption
  • Support the development, validation, and operationalization of statistical outputs and derived data products; coordinate with the agency data science team and SME data scientists to implement Airflow DAGs and AWS Glue jobs that ensure automated, recurring updates
  • Support transition of data science outputs into production by validating accuracy, completeness, and reporting readiness; ensure all production data products are incorporated into the agency's ETL load and gap reporting infrastructure
  • Develop and validate machine learning models and analytical pipelines using large-scale financial and regulatory datasets in the data lake
  • Leverage AI-assisted development tools for code generation, debugging, and performance tuning; adhere to agency security standards and applicable federal AI governance requirements
  • Write Python 3.10 code conforming to PEP 8; integrate analytical pipelines with the agency's ETL metadata infrastructure and produce required load and gap reporting outputs
  • Support entity resolution work to ensure consistent identification and linkage of records across high-volume financial datasets
  • Produce required documentation for all analytical models and pipelines: methodology, data lineage, model assumptions, refresh schedules, and IV&V Questionnaires
  • Write automated tests achieving the 90% minimum code coverage threshold; complete security scans at least once per sprint as part of the Definition of Done per OWASP ASVS Level 2
  • Participate in 2-week sprint ceremonies, quarterly PI planning, backlog refinement, and agile delivery using JIRA and GitHub

Education and Experience:

Required

  • Bachelor's degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
  • 3-5 years of experience in data science, machine learning engineering, or quantitative analytics
  • Proficiency in Python 3.10 (PEP 8) including pandas, NumPy, scikit-learn, and related libraries
  • Hands-on experience with Amazon Bedrock, knowledge bases, vector stores, and RAG pipeline design on AWS
  • Experience with Amazon OpenSearch Services or equivalent vector/search infrastructure
  • Experience with Apache Airflow (MWAA) for DAG-based pipeline orchestration
  • Familiarity with AWS Glue, S3, and Apache Spark for large-scale data processing
  • Experience with SQL and query tools such as Trino, Athena, or Redshift
  • Experience working with large-scale financial or regulatory datasets is strongly preferred
  • Knowledge of federal AI governance requirements and responsible AI practices in a government setting
  • Experience with agile development, CI/CD pipelines, GitHub, and sprint-based delivery
  • Familiarity with FISMA, NIST 800-53, and Zero Trust principles
  • Must be able to work 8am-5pm Eastern Time regardless of home location
  • Active federal public trust suitability determination or ability to obtain one required
STS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.

Employment decisions at STS are based on individual qualifications, performance, skills, and business needs, without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, marital status, or any other status protected by applicable law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leaves of absence.
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Applicants may request removal from our applicant database, or specific information about how the data is used by contacting recruiting@simpletechnology.io.