Return | REMOTE | BESS Optimization Developer (Python) | Full-time

Return (https://return.energy) is hiring a developer who will build the software that powers our BESS optimization algorithms. Return’s main activity is building and operating industrial-size Battery Energy Storage Systems. Our operations are located in the Netherlands, Germany, Belgium, and Spain. You will be making a measurable (country-level) impact on the transition to renewable energy. Return recently raised €300M to support its growth.

While we employ over 130 people, our teams are deliberately small. You will join the Optimizer Quant team, which builds the algorithms that decide when and how our batteries charge and discharge. Our platform automates processes in energy storage, monitoring, market optimization, sales, project management, procurement, and construction.

We expect you to be strong in Python and comfortable with APIs and backend fundamentals, cloud, Docker, and basic DevOps. You should be able to reason about system design and architecture, and to build and operate reliable data pipelines. A working understanding of optimization, time-series and forecasting, and the statistics behind quant work will help you move fast and ask the right questions. You do not need a finance background, but you should enjoy working closely with the quants who design our algorithms.

Our tech stack/toolset is straightforward: Python, PostgreSQL, TigerData, dbt, Dagster, Grafana, Terraform, self-hosted + cloud compute. We tend to keep meetings to a minimum in order to provide at least five hours of uninterrupted coding time per day. We practice code reviews and apply automated and manual testing. Our platforms are often deployed multiple times per day.

The team includes people who have co-founded several companies and/or have experience with remote development teams since 2008. They will personally help you through most of the recruiting process (there is no recruiter involved).

Apply at https://jobs.polymer.co/return/40229

Anyfin | Full-Stack, Backend (Go), Data Engineer | Stockholm, Sweden | ONSITE 3 days/week | Full-time | Relocation + visa sponsorship

What happens when you get a number wrong?

In most systems, you log an error and move on. At Anyfin, a wrong number is someone's loan application.

We're a profitable Swedish fintech that helps people refinance expensive consumer loans at better rates. Small team, regulated industry, which sounds like a recipe for slow, cautious engineering. It's the opposite. The regulation sets the floor, not the ceiling. Above that floor, we experiment, ship, break, learn, and ship again.

We're building real-time credit decisions using ML models on GKE, Go and Python on the decision layer, TypeScript/Node.js on the API, React on the frontend, BigQuery and dbt for data. Interesting stack, interesting problems, and because we're small, you're close to all of it.

Our co-founder Sven is back leading eng and hiring directly. No recruiter chain, no committee. Short feedback loops. Real ownership. No one to hide behind.

Roles: Senior Backend · Full-Stack · Cloud · Data Engineer

https://anyfin.info/hackernews

Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time

We're a ~20-person nonprofit doing forecasting research on high-stakes problems, including AI progress, biosecurity, and nuclear risk. We have dozens of active projects that generate forecasting data from surveys, expert panels, and AI systems.

We're looking for our first dedicated data engineer. You'd start alongside an external vendor extending an existing warehouse, then take full ownership. Concretely, the work would involve building ELT pipelines from survey platforms and external sources into a cloud warehouse, maintaining a dimensional model, collaborating with analysts, and overseeing orchestration & monitoring.

You have solid Python + ETL/ELT, strong SQL and dimensional modeling, cloud warehouse experience. Nice to have: dbt/Airflow/Dagster, prior SWE work, interest in forecasting. Apply even if you don't tick every box!

Conditions: - 100% Remote (worldwide) / Remote (global) - 30 days PTO, health insurance contribution. - $75k–$130k, depending on experience. - 3 team retreats/year.

Hiring process: short work test → paid 10-hour test → a few interviews.

Apply at https://forecastingresearch.org/careers/data-engineer

Virtasant (virtasant.com) | USA | Sr. Data Engineer | Full-time | 100% remote (within contiguous USA)

Virtasant is both a cloud optimization company (roles available for that area too!) and a staffing agency for some of our clients - they trust us to find the best candidates to join their teams.

For this role, you can own and scale a modern healthcare data platform — building core services, automation, and observability that power real-world patient and provider outcomes, fully remote, with long-term impact.

Long-term, no-end-date 1099 contract. US citizens or Green Card holders only, sadly (legal reasons).

5 yoe (5 of which building production-grade data or platform services), Python, SQL, AWS, dbt, Snowflake (or BigQuery or Redshift), Spark, Kafka, Delta Lake (or Iceberg or Hudi), Airflow, CI/CD, Docker.

Apply at https://virtasant.teamtailor.com/jobs/7563920-senior-data-en...

Thank you!

DataSF (City & County of San Francisco) | Senior Data Engineer | Hybrid (in San Francisco) | Full-time | $156k-$196k

DataSF is looking for a Senior Data Engineer to help us build out the city's central Snowflake platform, which will ultimately power the majority of SF's analytics, open data, and ML efforts. This role is a mix of data infrastructure (CI/CD, terraform), building pipelines (ADF, dbt, Python), and platform eng and admin (Snowflake). See the position description for more info.

We're looking for folks with:

- Strong SQL and Python skills

- Deep data modeling experience

- Data infrastructure and devops experience (terraform, Actions)

- dbt and Snowflake experience are a big plus

- Know their way around a terminal

Apply here: https://careers.sf.gov/role/?id=3743990013401756

Global Partners — Senior Director, Data Engineering Location: Waltham, MA (moving to Newton, MA within the next month) Pay Range $182,300.00 - $291,500.00 Fortune 500 energy company (fuel distribution, terminals, retail, etc.).

Hiring a Senior Director, Data Engineering to lead our data platform (Snowflake, dbt, Dagster, DataHub), team, and strategy. Actively hiring- Apply: https://careers.globalp.com/senior-director-data-engineering...

Fullstory | REMOTE (US), Atlanta USA | https://www.fullstory.com/

Fullstory offers privacy-preserving session replay and analytics for websites and mobile apps. Our session replays are nothing short of magical, and the combination with our automatic analytics creates eye-opening insights.

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Remote (US):

* Senior Manager, Security Engineering - $230~240k USD + up to 20% bonus - https://www.fullstory.com/careers/jobs/110896c1-25d8-4c96-82...

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Atlanta, US (semi-onsite, requiring 1 day per week in office):

* Senior Software Engineer, Web Capture - $145~170k USD + up to 10% bonus - JavaScript/TypeScript, React, Go (golang) - https://www.fullstory.com/careers/jobs/3b8d231f-ae95-4f95-84...

* Senior Data Engineer - $160~170k USD + up to 10% bonus - Go microservices, MCP server, dbt models - https://www.fullstory.com/careers/jobs/20dd3185-3313-4ac3-b1...

* Senior AI Automation Engineer, Finance - $135~145k USD + up to 10% bonus - https://www.fullstory.com/careers/jobs/4480a6d5-231e-420c-a6...

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We have additional roles open in sales and consulting. See the full list at https://www.fullstory.com/careers?utm_source=092xpqyAkV

You can expect regular raises & bonuses, equity, and benefits including: health insurance, 401k matching (Vanguard), annual learning stipend, unlimited PTO, parental leave, and more. I take about 4-5 weeks vacation a year, in addition to ~3 weeks worth of company holidays (federal holidays + the week of Christmas to New Years.)

Additionally, you get a 5-week sabbatical after 5 years of employment - I took mine about a year ago, and it was fantastic.

To apply, please submit your info on the website, and our recruiting team will get in touch with you. If you have questions, feel free to reply here or contact me directly. (I'm an engineer on the iOS team, but I'll do my best to answer questions.)

Trax | Analytics Engineer | REMOTE (Philippines, Costa Rica, US) | Full-time Contract

We're hiring an Analytics Engineer to help power our future. This is a really greenfield project where we need to define the data models that fuel all reporting, analytics, and ML/AI going forward. We do 'freight audit' - we save our clients money by making sure all their logistics spend is correct and as agreed.

At Trax, our data infrastructure is in the middle of a real transformation. We're building the data foundation that will power our next wave of AI features, and we need someone who can own that work end-to-end. This isn't a "run queries and make charts" role.

You'll be:

- Designing and maintaining data marts in dbt + Snowflake

- Building customer-facing dashboards that integrate into our platform

- Bridging the gap between engineering, business ops, and client teams

- Running ad-hoc analyses that drive real decisions

- Shaping how our data platform evolves alongside our AI/ML capabilities

What matters most to us:

- Deep data modeling knowledge (domain logic, not just syntax)

- Advanced SQL; dbt and Snowflake experience is a big bonus

- Strong communicator who translates between technical and non-technical worlds

- A learning mindset; genuinely non-negotiable for us

We're a small, close team. You won't disappear into a large org. You'll work directly with leadership, partner with Solutions and Sales, and have a real voice in how we build. If you thrive on ownership, are energized by complexity, and want to see the direct impact of your work, let's talk! My email and linkedIn are in my profile.

Kepler | Full Stack Engineer | New York, NY | ONSITE | $230K-$260K + equity We're building the trust layer for AI in high-stakes industries. https://kepler.ai

LLMs hallucinate, so they can't be the thing producing your numbers. In Kepler, the LLM orchestrates (decides what data to gather, what to compute, how to structure the output), but the model never touches the data itself. Every actual value flows through deterministic code pipelines with provenance metadata back to source. Verification loops cross-check outputs before users see them.

We started in finance because tolerance for wrong answers is zero. First product is a research platform for buy-side analysts: pull comparables, build models, research filings. Same architecture extends to chemicals, legal, healthcare. Models are commoditizing fast; the trust layer is what's missing.

If you want the deeper architecture writeup, Anthropic just published a case study on Kepler: https://claude.com/blog/how-kepler-built-verifiable-ai-for-f...

What you'd build:

- Source-explorer UI that traces any value back to its exact origin in the original document - Extraction pipeline for a data source we don't yet handle, with provenance and verification from day one - Agent orchestrator that handles partial failures so a bad extraction from one source doesn't block parallel work - Verification rules that cross-check values across multiple sources and surface conflicts with provenance on both sides

Stack: Rust backend (orchestration, extraction, computation), TypeScript/React frontend, PostgreSQL, AWS. Model-agnostic, currently Claude + GPT. We don't require Rust experience; we hire on fundamentals.

Looking for 5 years production experience, strong in TypeScript/React, comfortable in backend work. Bonus if you've built systems where correctness mattered (payments, data infra, healthcare, anything where a wrong output has consequences). Distributed systems basics: concurrency, fault tolerance, retries, idempotency.

Founding team is 40+ combined years at Palantir building Foundry's core systems (Ontology, Fusion, Workshop, FoundryML). CEO scaled a data company to $15M ARR, sold it, then ran Business Engineering at Citadel. Backed by founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs.

In-office NYC.

Apply: https://jobs.ashbyhq.com/kepler-ai/52624a4e-33e3-4f16-8028-0..., or email me: eddie.hammond@kepler.ai