Hey everyone! 👋

I’m a Data Engineer with 3+ YOE, experienced in both startups and large product-based organizations.

Looking for freelance, part-time, or contract opportunities.

Skills: Python • SQL • PySpark • Databricks • Azure • ADF • ADLS • MS Fabric • Synapse • Snowflake • ETL/ELT • Data Warehousing

If you have an opportunity or know someone hiring, please DM me! 🚀

Hello everyone,

I’m currently looking for my next opportunity in Product Management, Product Analytics, Business Analysis, or Data Analytics, ideally remote within Germany/EU or based in Germany.

I have 4+ years of experience across product, data, fintech, and financial services, most recently working as a Product Manager at a global financial data and analytics company.

A few areas I’ve worked on:

• Building and improving data-heavy B2B products
• Product discovery, requirements, roadmaps, UAT, and cross-functional delivery
• Data quality, analytics, SQL/Python, and KPI definition
• Risk, compliance, KYC/AML, and fintech workflows

If your company is hiring for something similar, or you know of a team I should look at, I’d really appreciate a referral, introduction, or even a link to the role.

Happy to share my CV privately.

Thanks!

Messy Excel or CSV file? FlowHarvest AI can clean one clearly defined spreadsheet task today.

$25 fixed starting price for a small task.

I can handle duplicate removal, names/dates/phone/email normalization, column cleanup, missing-data checks, CSV/Excel restructuring, basic PDF-to-Excel extraction, and final QA.

Deliverables: cleaned XLSX/CSV + concise change log + ambiguous values flagged rather than guessed.

Send approximate rows/columns and the cleanup problem first — no sensitive data needed for the quote.

DM or contact: [flowharvestai@proton.me](mailto:flowharvestai@proton.me)

Hi everyone, I'm available for freelance/one-off data work.

I can help with:
• Excel / Google Sheets data cleaning and formatting
• Data entry and organization
• Removing duplicates and fixing inconsistent data
• Formulas, pivot tables and charts
• Basic data analysis and reporting
• Web research and data collection
• CSV/PDF data cleanup and conversion
• Basic Python (Pandas) data cleaning and analysis

I'm open to small one-time tasks as well as ongoing work. If you have a messy spreadsheet or a repetitive data task you need help with, feel free to DM me with the details and budget.

Available to start immediately.

Hey everyone,

I'm looking for an active DE to mentor me 1-on-1 on a paid basis.

My background:

* Worked ~1.5 years as a DA in fintech, but it was mostly basic reporting and ad-hoc SQL with minimal engineering exposure.

* Took a career break after that due to personal reasons.

* Now fully committed to pivoting into DE.

I'm doing the heavy lifting on self-study and building projects myself, but i need someone to:

* Review my project architectures/code

* Sanity-check my roadmap so i stay on track

* Give feedback on my resume and portfolio

* Do quick weekly or bi-weekly syncs

Very happy to pay you for your time. if you're interested and have bandwidth, shoot me a DM with your background and rates.

thanks!

Hi Reddit,

I focus messy, ambiguous, regulation-heavy gnarly data science problems where nobody's even sure what the right question is. Stuff that AI can't touch.

What I've done:

• Saved a German automaker from lemon law recalls. ($20M+ exposure avoided)

• Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)

• Revenue optimization and persona identification for debt collections (15-20% net revenue lift)

• LLM-based legal document extraction, reducing due diligence turnaround from 3 days to 30 minutes

• Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings

Things I'm unwilling to work on:

• Gambling.

• Ads/Surveillance.

• Payday loans/rent-to-own.

DM me with a one-paragraph description of your problem. If it's weird and hard enough, I'll reply within 24 hours.

Hey everyone,

I’m a software engineer with around 10 years of experience, mostly working with startups and product teams that needed someone who could do more than just pick up tickets.

I’ve spent a lot of time building products from the ground up, fixing unstable systems, cleaning up messy backends, scaling apps after they started getting real users, and helping founders make better technical decisions before things became expensive to change.

Most of my work has been around AWS, backend systems, full-stack development, and lately AI/LLM-based products.

The kind of work I usually help with:

• Building MVPs that are not throwaway code
• Taking an existing product and making it stable/scalable
• AWS and serverless architecture
• Backend APIs, microservices, integrations, and async workflows
• AI/LLM features using OpenAI/Claude APIs
• Automation workflows and internal tools
• Production debugging when something is slow, broken, or unreliable
• CI/CD, observability, cloud cost cleanup, and deployment improvements
• Technical guidance for founders/startups that need a senior engineering brain involved

My usual stack:
AWS, Node.js, TypeScript, React, Next.js, Python, PostgreSQL, MongoDB, DynamoDB, Lambda, API Gateway, SQS, EventBridge, Docker, CI/CD, OpenAI/Claude APIs, automation workflows, and data pipelines.

I’ve worked as a hands-on developer, technical lead, architect, and technical advisor to startups. I’m comfortable writing code, reviewing architecture, debugging production issues, speaking with non-technical founders, and figuring out what actually needs to be built instead of blindly adding features.

I’m currently open to remote work, contract projects, startup consulting, backend/full-stack development, AWS/serverless work, AI product builds, and technical lead/architect roles.

If you’re building something, stuck with something, or need an experienced developer who can come in and make things move faster, feel free to DM me.

Workada is hiring a remote Data Labeling Specialists. Category: Data and Analytics 💸Salary: $17/hr 📍Location: Remote (USA)

See more and apply here!

Workada is hiring a remote Data Labeling Specialists. Category: Data and Analytics 💸Salary: $18 - $22/hr 📍Location: Remote (USA)

See more and apply here!

Workada is hiring a remote Data Labeling Specialists. Category: Data and Analytics 💸Salary: $18 - $22/hr 📍Location: Remote (USA)

See more and apply here!

Tasks

• Answer advanced statistics queries
• Collaborate with annotation leads and project managers
• Create golden responses for benchmarks
• Develop statistical explanations and justifications
• Document answer context and rationale
• Evaluate statistics data and solutions
• Participate in remote discussions and workshops

Perks/Benefits

• Remote work

Skills/Tech-stack

Advanced data analysis | Bayesian Methods | Biostatistics | Computational statistics | Data Analysis | Experimental Design| MySQL | Probability theory | Statistical inference | Statistics

Education

PhD

Roles

Statistics Expert

Apply now: https://aijobs.net/job/statistics-expert-phd-remote-238344/

Tasks

• Answer advanced computer science queries
• Collaborate with annotation leads and project managers
• Create golden responses for training
• Develop comprehensive explanations
• Document answer rationale and context
• Evaluate computer science data and solutions
• Participate in remote discussions and workshops

Perks/Benefits

• Remote work

Skills/Tech-stack

Computer Science | Data Science | Python

Education

PhD

Roles

Computer Science | Computer Science Expert

Apply now: https://aijobs.net/job/computer-science-expert-phd-remote-238345/

Hi Reddit,

Most of what people call "data science" is now doable with an LLM and a weekend. I focus on what isn't: the messy, ambiguous, regulation-heavy gnarly problems where nobody's even sure what the right question is.

What I've done:

Saved a German automaker from lemon law recalls. ($20M+ exposure avoided)
Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
LLM-based legal document extraction, reducing due diligence turnaround from 3 days to 30 minutes
Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings

Things I'm unwilling to work on:

Gambling.
Ads/Surveillance.
Payday loans/rent-to-own.

DM me with a one-paragraph description of your problem. If it's weird and hard enough, I'll reply within 24 hours.

Seeking full-time, part-time, or contract opportunities as a Data Engineer. I have hands-on experience with Python, SQL, PySpark, Databricks, and Azure through real-world data engineering projects and am currently learning DevOps for Data Engineering. Previously, I worked as a Backend Engineer with 3 years of experience in PHP and Python. Referrals and opportunities are greatly appreciated.

Hi everyone!

I'm a Data Analyst, Business Intelligence Developer, IT Specialist, and Web Developer with over 7 years of experience helping businesses, NGOs, startups, and individuals solve data and technology challenges.

Services I Offer

• Data Analysis (Excel, SQL, Python & R)
• Interactive Dashboards (Power BI & Tableau)
• Data Cleaning & ETL
• Data build tool (dbt)
• Excel Automation
• KPI Reporting & Data Visualization
• Database Design (MySQL & PostgreSQL)
• Website & Web Application Development
• AI Integration & Workflow Automation
• IT Support & Technical Consulting

Whether you need a dashboard, automated reports, database solution, website, or help analyzing your data, I'm happy to help.

Rate

Starting at $15/hour (negotiable)

Fixed-price projects are also welcome.

Portfolio

🌐 Portfolio:

https://amollo1.github.io/

💻 GitHub:

https://github.com/Amollo1

💼 LinkedIn:

https://www.linkedin.com/in/benard-omoga-870b77145/

If you're interested or have any questions, send me a DM. I'd be happy to discuss your project and provide a free consultation.

Thank you!

​

I’ve been unemployed for a year, and I’m ready to get back to work.

I have about four years of integration-related experience across EDI, client data onboarding, connector-based integrations, and cloud data pipelines.

My background includes EDI workflows, helping clients connect outside systems into Domo, moving data between databases, files, APIs, and cloud tools, and troubleshooting why data is not reaching the right destination.

My technical experience includes Azure Data Factory, Databricks, SQL, Python, Snowflake, dbt, Domo connectors, and ETL/ELT pipelines.

I’m open to remote freelance, contract, or full-time Data Integration Engineer and Data Engineer opportunities.

Resume and LinkedIn available upon request.

I am fresh graduate in computer science with special track in data science. I am not familiar to the role that offers to me, which is data indexer analyst. Sinse, I am pursuing data science or data analyst, the only answer I’m seeking for is: what is your thought as data indexer analyst as my first job?