Staff Data Engineer: Core Data Pipelines & Observability

KODE Labs; Detroit (MI); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Discretionary bonus

Career development

Flexible PTO

Dynamic team

Onboarding program

Friendly work environment

Social events

Job summary

KODE Labs in Detroit, MI is seeking a Staff Data Engineer to lead the technical foundations of our data pipelines, data alignment, quality, and observability. You will design and evolve core data pipelines and datasets that serve as shared foundations across KODE OS, with emphasis on IoT, time-series, and Digital Twin integration across multiple teams.

This role combines hands-on engineering with technical leadership, mentoring others and establishing standards for data contracts, lineage, and

Qualifications

• Staff-level experience in data engineering or data platform engineering.
• Strong proficiency in SQL and Python.
• Experience with IoT, telemetry, time-series, or high-volume event data.
• Experience with Digital Twins, ontologies, or semantic data models.
• Hands-on experience with Kafka, Flink, Spark, Airflow, dbt, BigQuery, ClickHouse, PostgreSQL.

Responsibilities

• Design, build, and evolve core data pipelines and datasets that serve as shared foundations across KODE OS.
• Define reusable patterns for aligning IoT, data sources with Digital Twin.
• Establish standards for the full data lifecycle from ingestion to consumption.
• Build shared frameworks for data validation, normalization, lineage, observability, and readiness.
• Define data quality approaches including flags, confidence scores, validation signals, and product-readiness checks.
• Establish time-series standards covering timestamps, time zones, frequencies, gaps, late-arriving data, duplicates, and aggregation grains.
• Define and evolve data contracts, schema standards, and versioning across producers and consumers.
• Build observability foundations to surface issues before they affect downstream products.
• Develop reusable mapping and alignment patterns for onboarding new integrations and data sources.
• Partner with Integrations and Digital Twin engineers to ensure identifiers and metadata are reliable.
• Work with FDD, Energy, Analytics, API, and AI teams to ensure data quality and readiness signals.
• Review new data models and cross-team data flows to follow shared standards.
• Provide technical leadership and mentor engineers across teams.

Skills

SQL

Python

Kafka

Flink

Spark

Airflow

dbt

BigQuery

ClickHouse

PostgreSQL

Time-series data

IoT data

Data modeling

Observability

Data quality

Schema evolution

Mentoring

Tools

Kafka

Flink

Spark

Airflow

dbt

BigQuery

ClickHouse

PostgreSQL

Job description

KODE Labs in Detroit, MI is seeking a Staff Data Engineer to lead the technical foundations of our data pipelines, data alignment, quality, and observability. You will design and evolve core data pipelines and datasets that serve as shared foundations across KODE OS, with emphasis on IoT, time-series, and Digital Twin integration across multiple teams.

This role combines hands-on engineering with technical leadership, mentoring others and establishing standards for data contracts, lineage, and