Data Engineer

WORLDLY LLC
United States
3 days ago
Apply on www.builtincolorado.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$135,000.0 - $165,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Airflow Amazon Web Services Amazon S3 Data Analysis Apache HTTP Server Confluence JIRA Big Data BigQuery
+41 more
Cloud Computing Databases Continuous Integration Data Architecture Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Security Data Warehousing Relational Databases Graph Database Identity and Access Management Python (Programming Language) PostgreSQL MongoDB Operational Databases Performance Tuning Message Oriented Middleware Runbook SQL Databases Management of Software Versions Data Processing Business Intelligence Development Studio Cloud Platform System Okta Sql Optimization Large Language Models Snowflake Amazon Virtual Private Cloud (VPC) Data Lakes Debezium Apache Flink Data Analytics Apache Kafka Data Management Presto Vertica Terraform Looker Analytics Docker Databricks

Job description

Worldly is hiring a hands-on data engineer with a passion for sustainability to join our dynamic team. You will take on a primary role in building, operating, maintaining, and evolving the systems that support our internal analytics and power our customer-facing analytics platforms.

In this role, you will:

  • Own our production data lake - a CDC-fed, medallion (bronze/silver/gold) lake on Apache Iceberg, queried through Trino - as well as our independent Postgres data warehouse.
  • Play a core role in integrating our graph database with the warehouse, lake, and primary databases, including migrating legacy pipelines onto a single, governed integration layer.
  • Apply generative AI and embeddings-based techniques already running in production (e.g., entity matching, document extraction) to keep expanding what our data can do.

What You’ll Do

Data Warehouse & Data Lake

  • Operate and evolve our Postgres data warehouse (schema, performance, access controls) and build analytics-ready datasets from it.
  • Own the lake end-to-end: CDC ingestion (source database * message bus * streaming writer * Iceberg bronze/silver/gold), the Trino query layer, and the table catalog.
  • Own pipeline health - latency SLAs, schema-drift detection, source reconciliation - and the GitOps/Terraform infrastructure and backup/DR posture underneath it.
  • Bring consistent schemas, documented lineage, and clear ownership to a data estate that’s grown quickly through acquisitions.

Orchestration, Transformation & Reporting

  • Maintain and evolve our Dagster-orchestrated dbt pipelines: sensor-triggered and scheduled builds, data quality tests, branch-based versioning for curated releases.
  • Operate our BI/reporting layer, including per-user, policy-based data access enforced at the query engine (not just the dashboard), and consistent metric definitions across dashboards.

Graph Integration

  • Own pipelines integrating the graph database with the warehouse, lake, and primary databases, working within canonical data models and a single write path.
  • Partner with data science to migrate legacy direct-to-graph services onto that shared path, and to evolve relational structures into graph-native models.

GenAI/NLP Enablement

  • Support and extend production genAI workflows - embeddings/similarity search, LLM-based extraction and classification - and keep our data infrastructure “AI-ready.”, Own Eve’s data platform end to end, including ingestion, orchestration, incremental dbt models, Snowflake administration, Terraform infrastructure, observability, access controls, and pipeline reliability. Build schema-change detection, freshness SLAs, CI environments, and incident processes while managing performance and compute costs. Partner with analytics engineers and stakeholders to maintain trusted data for reporting and AI systems, using AI-assisted development and documenting platform standards. Top Skills: AirflowClaude CodeDbtFivetranGithub ActionsIcebergMcp ServersParquetPythonSnowflakeSQLTerraform Jellyfish

Senior Data Engineer

2 Days Ago Remote or Hybrid United States 165K-235K Annually Senior level 165K-235K Annually Senior level Big Data * Cloud * Productivity * Software * Database * Analytics * Automation Build and maintain Databricks-based data platforms, including ingestion, transformation, storage, governance, data modeling, and serving pipelines. Establish medallion architecture standards, canonical data models, quality controls, lineage, schema evolution, and reliable batch or incremental processing. Improve pipeline observability, scalability, idempotency, and recoverability while moving curated data to systems such as ClickHouse. Collaborate across application and analytics teams to create durable, governed production datasets. Top Skills: Amazon AuroraAmazon RdsApache AirflowSparkBigQueryCdcClickhouseCloud Object StorageDatabricksDelta LakeIamOpenmetadataPostgresSnowflakeUnity Catalog Centerfield

Senior Data Engineer

6 Days Ago Remote or Hybrid United States Senior level Senior level AdTech * Consumer Web * Digital Media * eCommerce * Marketing Tech * SEO Build and support scalable data platforms and pipelines, leading migrations such as Snowflake to BigQuery and transitioning reporting to Looker. Responsibilities include data architecture, ETL/ELT, API and marketing integrations, data quality, production troubleshooting, warehousing, performance optimization, and platform modernization. The role partners with analytics and business teams, owns projects through production, documents solutions, and provides technical guidance. Top Skills: AWSAzureBigQueryConfluenceDraw.IoGCPGitJIRAKafkaLookerLucidchartMiroModeNotionPower BIPythonSnowflakeSparkSQLTableauTalend

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Requirements

  • 5+ years in data engineering, analytics engineering, or data platform engineering.
  • Advanced SQL and relational database experience (Postgres, MongoDB).
  • Hands-on graph database experience in production, including integrating graph models with warehouses and lakes - core, not peripheral, to this role.
  • Experience with open table formats and medallion lake architectures (e.g., Apache Iceberg) and distributed SQL engines (e.g., Trino, Presto).
  • Experience with streaming/CDC pipelines (e.g., Kafka or Pulsar, Debezium, Flink or similar).
  • Strong Python skills for pipelines, automation, and operational tooling.
  • Experience with dbt orchestrated by a modern scheduler (e.g., Dagster, Airflow).
  • AWS infrastructure experience (EKS, VPC, IAM, S3) via infrastructure-as-code (e.g., Terraform), plus CI/CD, GitOps (e.g., ArgoCD), and Docker.
  • Experience with analytics data modeling, metric definitions, and automated monitoring/data-quality controls.
  • Experience operating production data systems: incident triage, root-cause analysis, runbooks, reliability improvements.
  • Comfortable working with cross-functional/analytics stakeholders (Jira/Confluence, Agile).
  • Familiarity with data security practices (PII protection, encryption, access management).

It Helps If You Have

  • Experience with BI tooling supporting per-user, policy-based data access (e.g., Superset with SSO impersonation).
  • Experience with policy-based access control (e.g., OPA) and identity platforms (e.g., Keycloak).
  • Familiarity with multi-region data residency (e.g., separate EU/China data handling).

Benefits & conditions

  • Medical, Dental, and Vision Insurance are offered through multiple PPO options. Worldly covers 90% of employee premiums and 60% of spouse/dependent premiums.
  • Company-sponsored 401k with up to 4% match for US employees.
  • Incentive Stock Options.
  • 100% Parental Paid Leave.
  • Unlimited PTO.
  • 12 paid company holidays.

Life at Worldly Our team is motivated to transform the way products are made. By helping our customers succeed in a new era of sustainable production, we can build technology that makes a difference on a planetary level.

Our team represents over 15 countries and brings unique experiences from technology to farming to the table. Surround yourself with kind, enthusiastic, and dedicated people who put collaboration and growth at the center of our shared goals.

Benefits and Perks

  • Earn a competitive salary and performance-based bonuses. Get healthcare, retirement matching, and equity for US employees.
  • Use the office stipend to get the supplies you need-combat Zoom fatigue with no-meeting Fridays.
  • Flexible time off. Take the time you need to recharge. Our culture encourages team members to explore and rest to be their best selves.
  • We’re remote, not lonely. Join the culture committee, coffee chats, or a variety of other interest groups.

Travel Notice Roles at Worldly may require occasional travel to support business needs, including but not limited to team collaboration, customer engagement, or company events.

Equity Statement We believe reflecting the diversity of those we strive to serve is essential. True innovation happens when everyone has room at the table, including the tools, resources, and opportunity to excel. We’re dedicated to building a culturally and experientially diverse team that leads and works with empathy and respect.

Compensation Overview Annual Base Rate (USD): $135,000 - $165,000 10% Annual Bonus Incentive Stock Option Package Work-From-Home Stipends

*Final compensation figures will be determined based on a wide variety of factors, including experience and location. These factors will be evaluated and considered by Worldly throughout the entirety of this process.

About the company

Worldly is the world’s most comprehensive impact intelligence platform - delivering real data to businesses on impacts within their supply chain. Worldly is trusted by 40,000 global brands, retailers, and manufacturers to provide the single source of ESG intelligence they need to accelerate business and industry transformation.

Through strategic and meaningful customer relationships, Worldly provides key insights into supplier performance, product impact, trends analysis, and compliance. When a company wants to change how business is done, we enable that systemic shift.

Backed by a dedicated global team of individuals aligned by values, Worldly proudly operates as a public benefit corporation with backing from mission-aligned investors. Want to learn more? Read our story.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.builtincolorado.com
Prepare application

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