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Shopify In Jobs in Washington, DC (NOW HIRING)

KME Digital

Content Development Associate

Alexandria, VA · On-site

$131K - $136K/yr

Ability to work independently and in a team environment * Use and provide constructive feedback to ... Shopify, etc.) Benefits: * 401(k) matching * Dental insurance * Flexible schedule * Health ...

KME Digital

Content Development Associate

Alexandria, VA · On-site

$131K - $136K/yr

Ability to work independently and in a team environment * Use and provide constructive feedback to ... Shopify, etc.) Benefits: * 401(k) matching * Dental insurance * Flexible schedule * Health ...

KME.digital

Content Development Associate

Alexandria, VA

$131K - $136K/yr

Ability to work independently and in a team environment * Use and provide constructive feedback to ... Shopify, etc.) Benefits: * 401(k) matching * Dental insurance * Flexible schedule * Health ...

KME Digital

Content Development Associate

Alexandria, VA · On-site

$131K - $136K/yr

Ability to work independently and in a team environment * Use and provide constructive feedback to ... Shopify, etc.) Benefits: * 401(k) matching * Dental insurance * Flexible schedule * Health ...

CFS

Senior Accountant - Nonprofit

Washington, DC · Hybrid

$83K - $105K/yr

... benefits, AP/accruals, and Shopify/eCommerce activity * Support month-end close, financial ... Bachelor's degree in Accounting, Finance, or related field This is an excellent opportunity for ...

standvast

Customer Integrations Engineer

Columbia, MD · On-site

$103K - $138K/yr

Building analytics and data visualization tools in response to client requests and to support ... integrating Shopify and/or Netsuite * Excellent written and spoken communication skills

Tuckernuck

Junior Designer

Washington, DC · On-site

$60K - $65K/yr

The ideal candidate thrives in a fast-paced fashion e-commerce environment, understands brand ... Familiarity with After Effects,Shopify and Klaviyo is a plus Compensation Compensation for the role ...

Tuckernuck

Junior Designer

Washington, DC · On-site

The ideal candidate thrives in a fast-paced fashion e-commerce environment, understands brand ... Familiarity with After Effects,Shopify and Klaviyo is a plus Compensation Compensation for the role ...

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All JobsShopify In JobsShopify In Jobs in Washington, DC

Shopify In information

See Washington, DC salary details

$19

$33

$68

How much do shopify in jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for shopify in in Washington, DC is $33.91, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $27.21 per hour, depending on experience, location, and employer.

What is the difference between Shopify In vs Shopify Developer?

AspectShopify InShopify Developer
Required CredentialsBasic Shopify knowledge, e-commerce familiarityProficiency in Liquid, HTML, CSS, JavaScript, and app integrations
Work EnvironmentRetail stores, online stores, e-commerce teamsWeb development agencies, freelance projects, e-commerce companies
Employer & Industry UsageRetailers, small to medium-sized businessesTech firms, agencies, freelance clients
Common Search & ComparisonYesYes

Shopify In roles typically focus on managing and optimizing Shopify stores with basic platform knowledge, often within retail environments. Shopify Developers, however, require technical skills to customize and develop store functionalities. While both roles work within the e-commerce industry, their skill sets and responsibilities differ significantly.

What are popular job titles related to Shopify In jobs in Washington, DC? For Shopify In jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Shopify In jobs in Washington, DC look for? The top searched job categories for Shopify In jobs in Washington, DC are:
Shopify In jobs near you
Infographic showing various Shopify In job openings in Washington, DC as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $70,532 per year, or $33.9 per hour.

Data Analyst II, Ecommerce

Greenlight Financial Technology

Fort Washington, MD • Remote

Full-time

Re-posted 2 days ago

Job description

Greenlight is a family technology company on a mission to help families raise financially smart kids and navigate life together. Its suite of products — including the Greenlight app, debit card, Safe Family GPS trackers, and Family Hub — brings together financial tools, safety features, and everyday family management in one connected experience. Designed for busy families who want convenience without compromise, Greenlight continues to innovate alongside the evolving needs of modern life. Today, more than 6.5 million family members trust Greenlight to stay in sync.

At Greenlight, we're here to make the day-to-day easier and futures brighter, so families can spend less time managing life, and more time living it. That's why we get out of bed every morning.

Your day-to-day:
  • Own the end-to-end measurement framework for Greenlight’s devices business across Shopify and Amazon. Define the KPIs, build the reporting, and ensure the team always has a clear, current view of device sales performance.
  • Measure the full funnel from ad impression to device purchase to subscriber conversion. Understand which marketing inputs drive device sales and which device buyers become high-LTV subscribers. This two-step conversion is the core analytical problem in this role.
  • Analyze paid performance across Amazon Ads and Shopify-driven channels. Evaluate ROAS, CAC, and payback period at the device level and surface recommendations on where to shift spend.
  • Dig into the Shopify storefront and Amazon product page funnels. Identify where conversion is leaking, what product, pricing, or creative variables are driving lift, and bring findings forward before stakeholders ask.
  • Build and own dbt models that encode business logic for the devices domain in a scalable, reusable way to power dashboards, reporting, and stakeholder self-serve.
  • Build and maintain Tableau dashboards that give marketing and leadership a reliable, current view of device sales, channel performance, and subscriber attach rates.
  • Use Claude fluently as a daily productivity layer: accelerating SQL, generating documentation, QA-ing work, and building faster analytical workflows. Help define and share best practices for AI-assisted analytics across the team.
  • Partner directly with the devices marketing team to scope analytical problems, pressure-test
  • Identify gaps before they become problems: data quality, metric definitions, reporting coverage, and stakeholder understanding. Own the fix, not just the flag.
What you’ll bring to the team:
  • 4 to 8 years in a data or analytics role with direct experience in e-commerce or retail marketing analytics. You understand how product sales, marketplace channels, and subscription conversion interact.
  • Hands-on experience with Shopify analytics and Amazon Seller Central or Amazon Ads. You know how these platforms structure their data, what the key metrics are, and how to measure performance across both.
  • Strong, proven SQL ability. You write clean, efficient queries across complex schemas and can build analytics logic others can maintain. dbt experience, including owning models in production, is a strong plus.
  • You write readable, well-structured Python for analytical work: data manipulation, automation, or scripting. Experience with pandas and the ability to move fluidly between SQL and Python depending on what the problem calls for is what we’re looking for.
  • Proficient with Claude or similar AI tools for analytical work. You use them to move faster, not as a crutch. You know how to validate outputs rather than ship the first answer.
  • You understand how attribution models work in a marketplace context, what makes a good experiment, and how to think about LTV, CAC, and payback period for a hardware product that feeds a subscription business.
  • You don’t wait to be asked. You spot the gap, scope the work, and drive it to a conclusion. Your stakeholders shouldn’t have to manage your backlog.
  • You can take a fuzzy business question and turn it into a clear analytical plan. You ask the right clarifying questions and bring structure without needing the problem handed to you pre-scoped.
  • You communicate findings in a way that drives decisions. You know when a chart is enough and when you need a narrative. You’ve presented to senior stakeholders and know how to calibrate.
Preferred experience:
  • Amazon Clean Room experience: privacy-safe audience analysis, overlap measurement, or closed-loop attribution using Amazon’s data collaboration environment.
  • Experience with Amazon DSP or Amazon Marketing Cloud (AMC) analytics.
  • Familiarity with Shopify analytics APIs or third-party Shopify reporting tools.
  • Background in a business that sells hardware with a recurring subscription attached, such as connected devices, wearables, or smart home products.
  • Hands-on experiment design experience: incrementality testing, geo tests, or A/B testing in an e-commerce context.
  • Experience with Snowflake or a similar cloud data warehouse.
  • Experience mentoring or reviewing the work of junior analysts.
Not sure this one’s for you? Don’t count yourself out. Show us what you’ve got and we’ll reach out if there’s a great fit. 
Work perks at Greenlight:
  • Medical, dental, vision, and HSA match 
  • Paid life insurance, AD&D, and disability benefits 
  • Traditional 401k with company match
  • Unlimited PTO 
  • Paid company holidays and pop-up bonus holidays 
  • Professional development stipends
  • Mental health resources  
  • 1:1 financial planners
  • Fertility healthcare
  • 100% paid parental and caregiving leave, plus cleaning service and meals during your leave
  • Flexible WFH, both remote and in-office opportunities
  • Fully stocked kitchen, catered lunches, and occasional in-office happy hours
  • Employee resource groups
Our stance on salaries:
Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.
 
The estimated base pay range for this position in (NY, CA, WA): $100,000- 130,000
The estimated base pay range for this position in (CO): $100,000- 120,000

Who we are:
It takes a talented team to aim for a mission like ours. We're looking for people who ask "is it bold enough?" People who bring their real selves to the table and push the people around them to do the same. We win by never hesitating to jump in, offer a hand, or share the credit, because we know we're stronger together than apart. And through all of it, the mission stays the thing we measure ourselves against: are we doing right by the families counting on us? If that sounds like your kind of team, we'd love for you to apply. 
 
Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.
 
Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email accomodations@greenlight.me. 
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.