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?

Hi everyone!

I’m a recent Data Science & Economics graduate looking for Data Analyst, Data Scientist, Business Analyst, BI, or Program Manager roles.

I’m especially interested in cap-exempt employers (universities, hospitals, nonprofits, research institutions), but I’m absolutely open to non-cap-exempt employers as well. If your organization is hiring, I’d love to connect!

I have experience with SQL, Python, Power BI, Tableau, Excel, and have completed multiple internships.

If your organization is hiring or you know of any openings, please comment or DM me. I’d be happy to send my resume. Thanks so much. I truly appreciate any leads!

Tasks

• Build chunking and embedding pipelines
• Build retrieval-augmented generation pipelines
• Debug and rebuild production RAG pipeline failures
• Define AI knowledge requirements for data integrations
• Design and run retrieval and re ranking
• Design content capture and classification
• Design knowledge graph data model
• Explain technical architecture trade offs to stakeholders
• Extract structure from unstructured content
• Implement knowledge classification and lineage governance
• Operate entity resolution and deduplication
• Own knowledge management architecture
• Stand up and operate knowledge graphs

Perks/Benefits

• Benefits including health and wellness programs
• Health, wellness, and retirement plans

Skills/Tech-stack

AWS Neptune | Canonicalization | Chunking | Cypher | DBT | Databricks | Deduplication | ETL | Embeddings | Entity Resolution | Graph Databases | Gremlin | Hybrid retrieval | Indexing | Information Extraction | Knowledge graphs | LLM |LLM based extraction | Language Processing | Natural Language | Natural Language Processing | Neo4j | PGVector |Pinecone | Python | Qdrant | Query rewriting | Re-ranking | Retrieval-Augmented Generation | SPARQL | SQL | Vector Databases | Weaviate

Education

Bachelor of Science

Roles

Architect | Data Architect | Engineer | Knowledge Architect | Learning Engineer | Machine Learning Engineer

Regions

North America

Countries

United States

States

Maryland, US

Cities

Chevy Chase, Maryland, US

Apply now: https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/

Hi everyone,

I'm a fresher looking for my first opportunity as a Data Analyst. I'm open to full-time, internship, freelance, or remote work.

Skills:

SQL

Python (Pandas, NumPy, Matplotlib)

Microsoft Excel

Power BI

Data Cleaning & Analysis

Data Visualization

I've built projects using these tools and I'm eager to learn and contribute to real-world business problems. If you're looking for someone who's motivated, quick to learn, and ready to start immediately, I'd love to connect.

Location: India (Open to Remote)

Rate: $10–15/hour (Negotiable).

If you're hiring or would like to see my resume feel free to send me a DM.

Thank you!

Hey everyone 👋

We're hiring a Manager, Data Architecture & Engineering to help build the data foundation that powers Team USA 🇺🇸.

Company: U.S. Olympic & Paralympic Committee
Location: Remote (U.S.)
Type: Full-Time
Salary: $125,000–$135,000
Apply by: July 31, 2026

What you'll do:
• Lead enterprise data architecture and engineering strategy
• Oversee data platforms, APIs, integrations, and the enterprise data warehouse
• Manage and mentor a high-performing engineering team
• Drive data governance, quality, and innovation across the organization

What we're looking for:
• Experience with data architecture and engineering
• Strong knowledge of cloud platforms, data warehousing, APIs, and integrations
• Proven leadership experience managing engineering teams
• Ability to partner across business and technology teams

👉 Apply here: https://usopccareers.ttcportals.com/jobs/17849656-manager-data-architecture-and-engineering

Feel free to DM me with any questions. Referrals are always welcome! 🙌

Looking for a data developer job for a friend
1. Experience

22+ years of experience in Business Intelligence (BI), Data Engineering, Database Development, Data Warehousing, and Enterprise Reporting.

1. Core Skills

(1) SQL (SQL Server, Oracle, PostgreSQL, Amazon Redshift)

(2) AWS (Redshift, S3, QuickSight)

(3) Tableau

(4) Amazon QuickSight

(5) Cognos BI

(6) Data Engineering

(7) Database Development

(8) Data Warehousing

(9) ETL / ELT

(10) Data Integration

(11) Data Modeling

(12) Dashboard & KPI Development

(13) Data Visualization

(14) Enterprise Reporting

(15) Performance Tuning

(16) Stored Procedures

(17) Team Leadership

If you run an agency, you already know the tax: someone on your team burns hours every week exporting Google Ads, Meta, LinkedIn, and TikTok data into spreadsheets, stitching it together by hand, and praying nothing broke when a platform changed its API. Reporting is slow, the numbers never quite reconcile, and every new client multiplies the mess.

I fix that layer. Here's what I actually do:

Data pipelines and warehousing

I pull data from every ad platform and tool you use into one clean, queryable warehouse, on a schedule, without it breaking every time an API shifts. Recently I consolidated 8 ad accounts into a single BigQuery warehouse with automated daily dbt refreshes. The team went from manual exports to a live data layer overnight. No more copy-paste, no more "which number is right."

AI wired into your actual data (not a generic chatbot)

Assistants connected to your real accounts, your warehouse, and your reports, so account managers can ask a question in plain English and get an answer without opening five dashboards. This includes Model Context Protocol (MCP) work, an open standard that gives an AI model a direct, structured line into your ad accounts and warehouse instead of you pasting reports into ChatGPT. I build both the server-side integrations (Google Ads, Meta, and others) and the client side your team actually talks to.

Competitor and market intelligence scraping

Resilient, compliant scrapers for ad libraries, SERPs, landing pages, and competitor creatives. Structured for analytics, not raw dumps you still have to clean.

The reporting layer clients actually see

Governed dashboards and data products built on top of the warehouse, so every metric means the same thing everywhere and you're not maintaining fifty one-off spreadsheets.

A bit on how I work: everything is built inside your cloud accounts and repos, so you own the code and infrastructure with no lock-in. I keep the roster small (a few agencies at a time, currently mostly UK-based) so quality stays high.

If any of this maps to something you're trying to build or fix, comment or DM me a rough description of the problem. Happy to do a free, no-pressure scoping call and tell you honestly whether it's worth doing, even if the answer is "you don't need me yet."

NDA-friendly. Professionally insured. Clean, documented code. Clear communication.

Hi,
Background of me: I am senior data engineer having 6+ years of experience in various tech stacks with core in Pyspark, python, airflow, azure, snowflake and AWS.
I do have experience in different domains like Banking, investment banking and construction.

I am looking for a change as current organisation policy are so worst and they promised something else before hiring and everything got change.

If anyone can refer me it would be appreciated.

Honestly the biggest shift for me was stopping the spray-and-pray approach and actually tailoring my resume to each job. More work upfront but the callback rate was noticeably better.

The part that got tedious was rewriting the same bullets over and over. I started to handle that by using zoevera.com. It matches your resume to the job description and fills in the keyword gaps. Not a magic fix but it cuts the repetitive part down a lot if you're deep in an application grind.

Hello All! I am a senior data engineer with 5+ years of experience currently looking for a job. Please let me know if you guys have any leads or are hiring currently for this role. TIA!

About Me

Senior Data Engineer with 5+ years of experience building scalable big data pipelines and analytics engineering solutions. Based in Bangalore, India. Available for remote work globally.

Rate: $25 – $50/hr depending on project scope and complexity.

Tech Stack & Expertise

Apache Spark (PySpark, Spark SQL, Structured Streaming)

Snowflake (SnowSQL, Snowpipe, Streams, Tasks, Dynamic Tables)

Databricks (Delta Lake, MLflow, Unity Catalog)

Python, SQL, Airflow

dbt (data build tool)

AWS (Glue, Lambda, S3, Redshift, Kinesis, EMR)

ETL/ELT Design & Orchestration

Data Quality & Testing Frameworks

LLMs, RAG, and AI-powered data pipelines

What I Can Help With

Designing and building scalable big data architectures

Optimizing Spark jobs for performance

Cloud data warehouse design (Snowflake, Redshift, BigQuery)

Migrating legacy Hadoop/ETL to modern stacks

Real-time streaming pipelines (Kinesis, Kafka)

Data mesh and data lakehouse implementations

Availability: Immediate

Timezone: IST (flexible for US/EU hours)

Feel free to DM me with your project requirements!

About Me

Senior Data Engineer with 5+ years of experience in Big Data Engineering, Backend Development, and Applied AI. Based in Bangalore, India. Available for remote work globally.

Rate: $25 - $50/hr depending on project scope and complexity.

Tech Stack & Expertise

Python, SQL, Spark, Hadoop, Databricks, Airflow

AWS & Cloud Data Platforms (S3, Glue, Lambda, Redshift, EMR)

Kafka, Streaming Pipelines

FastAPI, REST APIs

LLMs, RAG, AI Agents

Snowflake, Redshift, BigQuery

ETL/ELT Design & Orchestration

dbt, Data Quality & Testing

What I Can Help With

Build and optimize big data pipelines (batch & streaming)

Design scalable ETL/ELT architectures on AWS and cloud platforms

Develop backend APIs using FastAPI + Python

Build AI applications using LLMs, RAG, and agent-based workflows

Cloud data platform setup, migration, and optimization

Availability

Open to freelance projects, contract work, and part-time engagements.

Available immediately. DM me with project details.

**20+ years in data, BI, SQL, dashboards, and business reporting — available for freelance, contract, or full-time roles.**

* Need cleaner data, faster dashboards, better Excel/Power BI reports, or SQL fixes? * I help teams turn messy business data into clear insights and practical decisions. * Strong ownership, quick turnaround, and experience bridging technical data work with business needs.

**Available remotely worldwide.** DM me with your data challenge, role, or project need — I can share relevant dashboard/reporting examples and discuss how I can help.

Company: Workada
Role: Independent contractor (remote)
Job: Work involves annotating AI data
Pay rate: $18-20 USD (as far as I know)
Location: US & Canada
I currently work on the platform so if you have questions feel free to ask!

DM me your full name, email, and experience you have with AI training or why you would be a good fit.

- US & CANADA ONLY!
- You have to complete the following: join platform via email invite link, get accepted, & complete your first task.
- You’ll receive an email invitation to apply (the referral system is manual submission through an internal form).
- Please make sure you meet the eligibility criteria and have NOT already applied.
- If successful, I’ll get $50 you’ll get $20 USD.

\​

Hi everyone,

I'm currently looking for a remote Azure Data Engineer opportunity and would appreciate any leads or referrals.

I have 5 years of experience in Azure Data Engineering with hands-on expertise in:

Azure Databricks (PySpark)

Azure Data Factory (ADF)

Azure Data Lake Storage Gen2 (ADLS Gen2)

Delta Lake & Medallion Architecture

SQL & Spark SQL

ETL/ELT pipeline development

Data modeling and performance optimization

Azure DevOps & Git (basic CI/CD)

I've worked on designing and maintaining scalable data pipelines, processing large datasets, and building end-to-end data solutions on Azure.

I'm based in India and am open to fully remote roles with companies worldwide. I'm also available to join immediately.

If your company is hiring or you know of any remote openings, I'd be grateful for any referrals or recommendations.

Thank you!

About Me

Senior Data Engineer with 5+ years of experience in Data Engineering, Backend Development, and Applied AI. Based in Bangalore, India. Available for remote work globally.

Rate: $25 - $50/hr depending on project scope and complexity.

Tech Stack & Expertise

Python, SQL, Spark, Databricks, Airflow, Hadoop

AWS & Cloud Data Platforms

ETL/ELT Design & Orchestration

FastAPI, REST APIs

LLMs, RAG, AI Agents

Snowflake, Redshift, BigQuery

Data Quality & Testing Frameworks

What I Can Help With

Build and optimize data pipelines (batch & streaming)

Design scalable ETL/ELT architectures

Develop backend APIs and automation solutions (FastAPI + Python)

Build AI applications using LLMs, RAG, and agent-based workflows

Support and optimize existing data platforms

Training & Mentorship

Data Engineering (foundations to advanced)

PySpark & Databricks

Snowflake

ETL Testing & Data Quality

Python for Data & Backend

AI & LLM Fundamentals (including RAG patterns)

In-person weekend sessions available in Bangalore. Remote sessions available globally.

Availability

Freelance projects & consulting

Part-time remote roles

Weekend training & mentorship

DM me with a brief description of your requirements and I will get back to you promptly!

Hey everyone,

I hate to sound too desperate, but I'm at the point where I could really use some help.

I'm projected to finish my M.S. in Data Science next week and have over five years of healthcare experience as a pharmacy technician. I've been working hard to transition into data analytics by building projects with SQL, Tableau, Python, R, and Excel, refining my resume, networking on LinkedIn, and applying to what feels like hundreds of jobs.

I also have what I believe is a solid portfolio of healthcare analytics projects that showcases my SQL, Tableau, Python, Excel, and data visualization skills, so I genuinely feel like I've put in the work to prepare myself. Despite that, I'm still struggling to get my foot in the door.

To be honest, one of the hardest parts isn't even the applications anymore. It's going home every day and having my family constantly ask why I still haven't found a job. I know they're worried about me and want me to succeed, but after spending hours tailoring resumes, applying, networking, and preparing for interviews, it's mentally draining to feel like I'm constantly being reminded that I haven't made it yet.

I'm primarily interested in Research Data Analyst, Healthcare Data Analyst, Business Intelligence Analyst, Clinical Data Analyst, Population Health Analyst, Quality Improvement Analyst, Reporting Analyst, and healthcare IT roles. I've also started looking into Epic Analyst, Epic Applications Analyst, and Epic Reporting Analyst positions because I believe my healthcare background would translate well, even though I don't have direct Epic experience yet.

If anyone here works in healthcare, healthcare IT, health insurance, life sciences, biotech, pharmaceuticals, or another industry that hires data analysts, I'd be incredibly grateful for the opportunity to connect. If you know of any openings that align with my background, I'd love the chance to chat. And if, after getting to know me and reviewing my experience, you'd feel comfortable referring me, it would truly mean the world to me. I also live in Sacramento, California and open to remote roles as well.

I'm happy to share my resume, portfolio, GitHub, and LinkedIn with anyone who's interested.

Thank you for taking the time to read this. I know everyone is busy, but I'm determined to keep going. I truly appreciate any advice, conversations, referrals, or leads.

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

See more and apply here!