Software Developer & Data Engineer

FarCoder; Northern (KY); Hybrid; USD 25,000 - 40,000; Full time

Benefits offered by this job

Fully remote

Health benefits

401(k) with 4% match

Unlimited PTO

Job summary

Wisecode is hiring a remote Software Developer & Data Engineer to help build a data lakehouse and own end-to-end data pipelines. You will work with our Data team to shape architecture and implementation in an early-stage environment.

We expect 3+ years in a similar role, native Python and SQL, and comfort with ambiguity and fast pace. This is a full-time, fully remote USA position with competitive compensation and strong health benefits.

Qualifications

• 3+ years of experience in a similar role.
• Experience designing and shipping a lakehouse or data warehouse from scratch.
• Experience treating data identity and entity resolution as architectural questions.
• Experience running batch pipelines that invoke paid cloud APIs at scale with cost controls.
• Experience pairing daily with other engineers in a fast-paced environment.

Responsibilities

• Lakehouse Architecture & Implementation: Own end-to-end implementation and collaborate on data/platform architecture alongside Nicholas.
• Source Ingestion: Build and establish patterns for a variety of sources including APIs, text from public sources, and external databases.
• Identity & Entity Resolution: Merge records across retailers and dates into one trusted published record with source provenance.
• Pipeline Consolidation & Enrichment: Consolidate existing food enrichment pipelines into a single pipeline with Kevin's team.
• Downstream Connectors: Build robust connectors to feed data to WISE Intel and the consumer app.
• Operational Discipline & Configuration: Maintain strict fail-fast config discipline in configs.
• Data Quality & Reporting: Establish ingest capabilities and quality reporting for Data Assembly readiness.
• Technical Documentation: Write plain, short, dated decision records prior to code implementation.

Skills

SQL

Kubernetes

Terraform

CI/CD

Python

Rust

Tools

AWS

DynamoDB

Lambda

MEAN

Job description

# Remote Software Developer & Data Engineer Job at WisecodeUSA12 hours agoFull TimeUSA$25000 - $40000 USDSQLKubernetesTerraformCI/CDPythonRustAWSArtificial Intelligence (AI)DynamoDBLambdaMedicalMEAN“When applying, mention the word FarCoder to show you’ve read the job post completely. Employers can look for these words to identify genuine, thoughtful applicants and avoid spam.”## Job OverviewWisecode is hiring a remote candidate for Software Developer & Data Engineer. This is a full time position. Work location: USA.The role typically involves technologies such as SQL, Kubernetes, Terraform, CI/CD, Python, Rust.## Key Responsibilities* Lakehouse Architecture & Implementation: Own end-to-end implementation and collaborate on data/platform architecture alongside Nicholas.* Source Ingestion: Build and establish patterns for a variety of sources including APIs, text from public sources, and external databases.* Identity & Entity Resolution: Merge the many records we collect for each product, across retailers and dates, into one trustworthy published record. Decide which source wins on each disagreement, and keep every original record so each published value can be traced to its source.* Pipeline Consolidation & Enrichment: Consolidate existing food enrichment pipelines down to a single pipeline in collaboration with Kevin's team.* Downstream Connectors: Build robust connectors to feed collapsed food data to WISE Intel and the consumer app.* Operational Discipline & Configuration: Maintain strict fail-fast config discipline (magic values in config files; early loud failures for missing settings).* Data Quality & Reporting: Establish ingest capabilities and quality reporting for Data Assembly readiness.* Technical Documentation: Write plain, short, dated decision records prior to code implementation.## Required Skills### Primary Skills* SQL* Kubernetes* Terraform* CI/CD* Python* Rust### Secondary Skills* AWS* Artificial Intelligence (AI)* DynamoDB* Lambda* Medical* MEANSkills required for this role include SQL, Kubernetes, Terraform, and related tools for day-to-day development.## Job Details* **Employment Type:** Full Time* **Location:** USA* **Salary:** $25000 – $40000 USD## Tech StackSQL, Kubernetes, Terraform, CI/CD, Python, Rust, AWS, Artificial Intelligence (AI), DynamoDB, Lambda, Medical, MEAN## Role details### **Build the food intelligence layer at WISEcode.**### Most people have no real way to know what's in their food or what it does to them. The information is scattered, inconsistent, and written to sell rather than to inform. WISEcode exists to change that: to give people a source they can actually trust, and the freedom to decide for themselves once they have it.### Getting there takes more than a better app. It takes a system underneath that turns fragmented food data into answers that hold up: consistent, explainable, and the same whether they reach a parent scanning a label, a brand seeking verification, or an institution making decisions at scale. That system is what we are building, and it is the reason the work compounds instead of resetting with every new product.### The RoleWe are hiring a Software Developer & Engineer to work as a senior individual contributor, serving as the second engineer on The Pantry, our new data lakehouse (DuckLake on S3 Parquet, Postgres catalog, Prefect orchestration, Python throughout). You will work alongside our Data team, combining hands-on implementation with platform and data architecture design in an early-stage environment where the shape of the work is still yours to define.You bring 3+ years of experience in a similar role, along with real comfort with ambiguity and pace. What you get in return is a problem that matters and the room to shape how it gets solved.### Key Responsibilities### Technical Skills* **Languages:** Native proficiency in Python and SQL.* **Storage & Query Engines:** DuckDB, DuckLake, S3 Parquet.* **Databases:** Postgres, DynamoDB (state management).* **Orchestration & Frameworks:** Prefect, Kubernetes/Fargate job runners; familiarity with dbt, Dagster, or Airflow.* **AWS Infrastructure:** S3, ECS, Lambda, EventBridge, SNS, Terraform, IAM.* **Reporting & Data Modeling:** Lakehouse, analytic/dimension design; Quarto reporting; Medallion architecture (bronze/clean), star schema (food sighting, ingredient, nutrient, provenance).* **CI/CD:** github actions### Minimum Qualifications* ### 3+ years of experience in a similar role* ### Proven track record of designing and shipping a lakehouse or data warehouse from scratch, and operating it for at least one year in production.* ### Demonstrated experience treating data identity and entity resolution as first-class architectural questions.* ### Experience running batch data pipelines that invoke paid cloud/third-party APIs at scale with strict cost efficiency and budget controls.* ### Experience pairing daily with other engineers in a fast-paced environment.### Preferred Qualifications* ### Experience making architectural trade-offs between lightweight/embedded query engines (e.g., DuckDB) versus distributed systems (Spark, Databricks, Snowflake).* ### Familiarity with data acquisition methods (e.g., web scraping, OCR API integration).* ### Note: Food or nutrition domain knowledge, deep Spark/Databricks/Snowflake experience, and people management experience are explicitly **NOT** required for this role.### CompensationCompetitive base, bonus, and meaningful equity. Details shared in the hiring process.### Benefits* **Location:** Fully remote* **Unlimited PTO & Paid Holidays:** Unlimited time off and 10 paid holidays* **Financial Wellness:** 401(k) with a 4% company match, immediately vested* **Health Benefits:** Comprehensive medical, dental, vision, life, and additional ancillary coverage. + 100% coverage for employees, with 80% covered for dependents + 100% employer paid STD, LTD, Identity Theft, and Life insurance + FSA and HSA plans available, for our HSA: - $200/mo contributions for Employee plans - $400/mo contributions for Employee + Dependent plans### Why WISEcodeWe are building the layer that food decisions will run on. That is quiet, compounding work: broadening coverage, sharpening precision, and making every output repeatable and defensible. We value transparency, rigor, and respect for the person making the decision, who deserves clear information and the freedom to reach their own conclusion. Come in early enough and you help shape how this system works instead of operating inside one someone else already designed.*Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At WISEcode, we value diverse experiences, transferable skills, and the unique strengths each person brings.**WISEcode is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.*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.