Client Service Associate Jobs in Washington, DC
Client service associate jobs in Washington, District of Columbia are concentrated in the Downtown financial corridor, Capitol Hill, and Foggy Bottom, with strong demand from federal contractors, wealth management firms, and financial institutions. Employers hiring right now include Global Impact, Microchip Technology, and Cox Communications. Find a role that fits below and apply directly.
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Showing 5 of 47+ Client Service Associate jobs
About the Role
As an Associate Client Data Engineer at CredLens, you will focus on the client-onboarding workflow that brings new credential-issuer data into our platform. You will learn the platform and the fundamentals of production data engineering with direct support from more senior engineers, and gain hands-on experience across the full onboarding workflow, with a clear path to grow into a broader data-engineering role over time. Because so much of the work involves direct client interaction, excellent customer-service skills and clear communication are essential.
This is an early-career, hands-on role focused exclusively on onboarding: partnering directly with clients to receive their data, understanding and documenting the data structure, and cleaning, transforming, and validating the data so it is ready for CredLens' data pipeline. This is an excellent opportunity to start a data career from the ground level by continuing to build a data engineering skillset while working in a role that directly impacts end users. You will work within a small, cohesive Data Engineering team, reporting to the Data Engineering Team Lead. The team is based in Washington, DC. This is a hybrid role requiring in-person attendance at the office at least two days a week, likely Tuesdays and Thursdays.
Note: this is not a "big data" or "real-time" analytics role. It best suits a mission-aligned individual who cares about using data to create more equitable outcomes and who focuses on quality, reliability, and a smooth client experience.
Context
CredLens is building a nonprofit national data trust focused on verified outcomes for non-degree credentials. The effort is an initiative launched by the Strada Education Foundation in 2024. CredLens will deliver actionable insights and power ongoing research for industry-based, professional, and workforce credentials.
CredLens is designed to fill the data gap for non-degree credentials. The attainment of these credentials is growing, but there is little to no data tracking their outcomes. CredLens will offer tailored data analytics and visualizations to credential issuers, workforce training providers, philanthropic funding partnerships, and state system partnerships to support the continuous improvement of credential quality and to support informed funding and scaling decisions.
Key Responsibilities
Core responsibility areas, listed below with the approximate time required for execution in the first 12 - 18 months of work if the incumbent is new to the role:
Serve as the data engineering point of contact for new clients during onboarding, guiding them through what data to provide and in what format.
Receive incoming client data and perform exploratory data analysis to understand its structure, quality, and completeness.
Identify and flag missing, malformed, or inconsistent fields early, and coordinate with the client to resolve them.
Clean, transform, and validate client data so it conforms to CredLens' standards and is ready for downstream ingestion.
Build and run the models and transformations that move a client's data through the onboarding stages of the pipeline, using SQL, Python, DBT, and Airflow.
Document each client's onboarding: data sources, decisions made, and any exceptions, contributing to shared onboarding procedures and templates.
Track onboarding progress and time, and surface areas of friction to improve the process so that it becomes faster and more repeatable over time.
Work with the broader Data Engineering team to research, learn, and implement new improvements to the onboarding pipeline’s efficiency & scalability so it can grow with us.
Qualifications and Experience
Education
Bachelor's degree in computer science, information systems, data science, or a related field is required. OR, equivalent practical experience is required, at least two years.
Experience Required
Suitable for a new or recent graduate; no prior professional experience required. Internships, academic projects, or other hands-on data work are a plus, as is a demonstrated ability to learn quickly.
Working proficiency in SQL and Python for data manipulation and analysis.
Some past experience working with and cleaning raw datasets.
Strong customer-service orientation and the ability to communicate clearly with non-technical clients.
Attention to detail, particularly around data quality, validation, and documentation.
Consistently takes initiative to learn and try new things, and keeps a mindset of constant improvement.
Experience Preferred
Exposure to Redshift, Snowflake, PostgreSQL, or similar databases.
Experience with Pandas DataFrames, Jupyter notebooks, and other quick data processing tools.
Familiarity with DBT, Airflow, or other data pipeline and orchestration tooling.
Familiarity with AWS S3 and Lambda functions, or other AWS services.
Experience working with Github, or another code version control platform.
Experience handling sensitive or confidential data and following security best practices.
Experience working in a startup, nonprofit, or mission-driven environment.
Skills Required
SQL
Python
Data cleaning & manipulation
Interpersonal skills
About CredLens
Non-degree credentials are reshaping how people move from learning to earning. Millions of learners are pursuing certificates, bootcamps, and workforce programs as pathways to better jobs and higher wages. But growth has outpaced clarity.
Thousands of offerings, uneven definitions, and fragmented outcomes data make it nearly impossible to distinguish impact from activity. When results are unclear, learners carry the risk, strong programs can't stand out, and investment can't reliably flow to what works.
CredLens exists to fix that.
We are a neutral, trusted source of high-quality outcomes data for non-degree credentials — connecting issuer-verified credential records to real-world employment, earnings, and education outcomes. Our partners use that data to improve programs, guide investment, and strengthen career pathways for learners.
Two years in, we have a firmly established platform, a growing client base, and the backing of Strada Education Foundation. We are not a startup finding its footing. We are a company beginning to scale — and we are building the team that will take us there.
Mission and Value Alignment
Travel Requirements
Approximately 5% domestic travel anticipated.
plus annual bonus
About the Role
As an Associate Client Data Engineer at CredLens, you will focus on the client-onboarding workflow that brings new credential-issuer data into our platform. You will learn the platform and the fundamentals of production data engineering with direct support from more senior engineers, and gain hands-on experience across the full onboarding workflow, with a clear path to grow into a broader data-engineering role over time. Because so much of the work involves direct client interaction, excellent customer-service skills and clear communication are essential.
This is an early-career, hands-on role focused exclusively on onboarding: partnering directly with clients to receive their data, understanding and documenting the data structure, and cleaning, transforming, and validating the data so it is ready for CredLens' data pipeline. This is an excellent opportunity to start a data career from the ground level by continuing to build a data engineering skillset while working in a role that directly impacts end users. You will work within a small, cohesive Data Engineering team, reporting to the Data Engineering Team Lead. The team is based in Washington, DC. This is a hybrid role requiring in-person attendance at the office at least two days a week, likely Tuesdays and Thursdays.
Note: this is not a "big data" or "real-time" analytics role. It best suits a mission-aligned individual who cares about using data to create more equitable outcomes and who focuses on quality, reliability, and a smooth client experience.
Context
CredLens is building a nonprofit national data trust focused on verified outcomes for non-degree credentials. The effort is an initiative launched by the Strada Education Foundation in 2024. CredLens will deliver actionable insights and power ongoing research for industry-based, professional, and workforce credentials.
CredLens is designed to fill the data gap for non-degree credentials. The attainment of these credentials is growing, but there is little to no data tracking their outcomes. CredLens will offer tailored data analytics and visualizations to credential issuers, workforce training providers, philanthropic funding partnerships, and state system partnerships to support the continuous improvement of credential quality and to support informed funding and scaling decisions.
Key Responsibilities
Core responsibility areas, listed below with the approximate time required for execution in the first 12 - 18 months of work if the incumbent is new to the role:
Serve as the data engineering point of contact for new clients during onboarding, guiding them through what data to provide and in what format.
Receive incoming client data and perform exploratory data analysis to understand its structure, quality, and completeness.
Identify and flag missing, malformed, or inconsistent fields early, and coordinate with the client to resolve them.
Clean, transform, and validate client data so it conforms to CredLens' standards and is ready for downstream ingestion.
Build and run the models and transformations that move a client's data through the onboarding stages of the pipeline, using SQL, Python, DBT, and Airflow.
Document each client's onboarding: data sources, decisions made, and any exceptions, contributing to shared onboarding procedures and templates.
Track onboarding progress and time, and surface areas of friction to improve the process so that it becomes faster and more repeatable over time.
Work with the broader Data Engineering team to research, learn, and implement new improvements to the onboarding pipeline’s efficiency & scalability so it can grow with us.
Qualifications and Experience
Education
Bachelor's degree in computer science, information systems, data science, or a related field is required. OR, equivalent practical experience is required, at least two years.
Experience Required
Suitable for a new or recent graduate; no prior professional experience required. Internships, academic projects, or other hands-on data work are a plus, as is a demonstrated ability to learn quickly.
Working proficiency in SQL and Python for data manipulation and analysis.
Some past experience working with and cleaning raw datasets.
Strong customer-service orientation and the ability to communicate clearly with non-technical clients.
Attention to detail, particularly around data quality, validation, and documentation.
Consistently takes initiative to learn and try new things, and keeps a mindset of constant improvement.
Experience Preferred
Exposure to Redshift, Snowflake, PostgreSQL, or similar databases.
Experience with Pandas DataFrames, Jupyter notebooks, and other quick data processing tools.
Familiarity with DBT, Airflow, or other data pipeline and orchestration tooling.
Familiarity with AWS S3 and Lambda functions, or other AWS services.
Experience working with Github, or another code version control platform.
Experience handling sensitive or confidential data and following security best practices.
Experience working in a startup, nonprofit, or mission-driven environment.
Skills Required
SQL
Python
Data cleaning & manipulation
Interpersonal skills
About CredLens
Non-degree credentials are reshaping how people move from learning to earning. Millions of learners are pursuing certificates, bootcamps, and workforce programs as pathways to better jobs and higher wages. But growth has outpaced clarity.
Thousands of offerings, uneven definitions, and fragmented outcomes data make it nearly impossible to distinguish impact from activity. When results are unclear, learners carry the risk, strong programs can't stand out, and investment can't reliably flow to what works.
CredLens exists to fix that.
We are a neutral, trusted source of high-quality outcomes data for non-degree credentials — connecting issuer-verified credential records to real-world employment, earnings, and education outcomes. Our partners use that data to improve programs, guide investment, and strengthen career pathways for learners.
Two years in, we have a firmly established platform, a growing client base, and the backing of Strada Education Foundation. We are not a startup finding its footing. We are a company beginning to scale — and we are building the team that will take us there.
Mission and Value Alignment
Travel Requirements
Approximately 5% domestic travel anticipated.
plus annual bonus
See All 47 Client Service Associate Jobs in Washington
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Find Client Service Associate JobsClient Service Associate Job Market in Washington
Who's Hiring
Top Industries Hiring
- Fintech
- Staffing & Recruiting
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
Client Service Associate Jobs in Washington: Frequently Asked Questions
How do I get a client service associate job in Washington?
Your strongest path in Washington is targeting the financial services, federal contracting, and association management sectors, which concentrate the most client service associate openings in the city. Neighborhoods like Downtown, Georgetown, and the Penn Quarter hold the densest clusters of hiring employers. Candidates with CRM experience, professional communication skills, and familiarity with compliance-heavy client environments stand out in this market above all others.
Which companies hire client service associates in Washington?
Washington client service associate roles are posted by Global Impact, Microchip Technology, and Cox Communications and others right now, based on current listings on Migrate Mate as of July 2026. Washington's employer mix is unusually broad, pulling from wealth management firms, trade associations, federal contractors, and regional banks all concentrated within a compact downtown core.
Are there remote client service associate jobs in Washington?
Yes, though availability depends heavily on role type, since positions requiring in-person client meetings or branch presence remain largely on-site. About 73% of client service associate openings tied to Washington are remote or hybrid as of July 2026, with the remote options clustering most in back-office account servicing and financial operations roles rather than relationship-facing positions.
How can I get a client service associate job in Washington with little or no experience?
The most realistic entry path in Washington is through financial services firms and trade associations that hire for client support or account coordinator roles and train internally. Regional banks and credit unions along the K Street corridor regularly bring on entry-level candidates with strong communication skills and a customer-service background. Starting in a receptionist, member services, or client support coordinator role at a Washington association or contractor is a proven lateral move into the client service associate track.
Which industries hire the most client service associates in Washington?
The sectors hiring the most client service associates in Washington are Fintech, Staffing & Recruiting, and Technology & Software, based on current listings on Migrate Mate as of July 2026. Washington's unique concentration of federal agencies, lobbying firms, and financial advisory practices creates persistent demand for client-facing roles that blend regulatory awareness with relationship management.
Related Jobs in District of Columbia
See All 47 Client Service Associate Jobs in Washington
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