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Akube

17 jobs near Columbus, OH

aKube

AI Orchestration Engineer I - 1644

Los Angeles, CA · On-site

$69 - $90/hr

Location Preference in Order: New York City, NY; Los Angeles, CA; San Francisco, CA; then Tempe, AZ Onsite/Hybrid/Remote: Hybrid. At least office 1 day a week onsite. Duration: Through June 2027 ...

aKube

Senior Snowflake Data Engineer - 1615

Burbank, IL · On-site

$110.21 - $137.76/hr

Burbank, United States | Posted on 05/22/2026 Onsite / Hybrid / Remote Hybrid (4 days onsite per week, no flexibility) Duration 12 Months Rate Range Upto $96/hr on W2 Work Authorization GC, USC, All ...

aKube

Senior Databricks Data Engineer - 1628

Calabasas, CA · On-site

$130 - $150/hr

Calabasas, United States | Posted on 06/29/2026 City: Las Vegas, NV / Calabasas, CA Onsite/ Hybrid/ Remote: Onsite 4 days a week Duration: Fulltime Rate Range: Up to $130k to $150k PA depending on ...

Lead Data Engineer - Experimentation Platform - 1633

aKube

Santa Monica, CA • On-site

$113.65 - $161.87/hr

Other

Re-posted yesterday

Job description

Lead Data Engineer - Experimentation Platform - 1633

Santa Monica, United States | Posted on 07/02/2026

Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)

Duration: 6 Months

Rate Range: Upto $100/hr on W2

Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

Must Have
  • Python
  • SQL
  • ETL / ELT
  • Databricks
  • Snowflake
  • Data Modeling
  • Data Warehousing / Lakehouse
  • CI/CD for Data Pipelines
  • Data Quality & Data Governance
Responsibilities
  • Design and build scalable data platforms supporting experimentation and A/B testing.
  • Develop batch and streaming data pipelines for large-scale user and product datasets.
  • Build reusable datasets and frameworks for experimentation, analytics, and product measurement.
  • Design dimensional data models and analytics-ready data products.
  • Implement automated data quality, validation, monitoring, lineage, and governance.
  • Build production‑grade deployment pipelines with CI/CD and observability.
  • Partner with Product, Engineering, Data Science, and Analytics teams to deliver scalable data solutions.
  • Optimize data infrastructure supporting experimentation, personalization, and machine learning workloads.
  • Mentor engineers and establish best practices for large‑scale data engineering.
Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
  • 7+ years of experience in data engineering or large‑scale data platforms.
  • Strong experience with distributed data processing and cloud‑based data architectures.
  • Hands‑on experience with Python, SQL, Spark, Databricks, Snowflake, Kafka, and Airflow.
  • Strong understanding of data modeling, ETL/ELT, streaming architectures, and lakehouse concepts.
  • Experience building experimentation, analytics, personalization, or ML data platforms.
  • Experience implementing CI/CD, automated testing, monitoring, and data governance.
  • Strong system design and architecture experience.
  • Experience mentoring engineers and leading technical initiatives.
Nice to Have
  • Experimentation platforms or A/B testing infrastructure.
  • Causal inference or product analytics experience.
  • ML feature engineering and model lifecycle pipelines.
  • Infrastructure automation and observability.
  • Subscription, streaming media, advertising, or consumer product experience.
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