Randstad Digital Americas · 23 hours ago
Data Engineer III
Houston, TX
Full-time
Onsite
Senior Level
$80/hr - $85/hr
7+ years expRandstad Digital Americas is seeking a senior Data Engineer to design, build, and optimize large-scale data pipelines and modern lakehouse architectures. This role focuses on delivering reliable, scalable, and high-performance data solutions to support analytics and business decision-making.
Information Technology & Services
Responsibilities
Design, build, and maintain ELT pipelines across ingestion, transformation, modeling, and delivery layers (bronze → silver → gold)
Implement incremental loading, change data capture (CDC), merge/upsert, and idempotent pipeline patterns to ensure reliability and repeatability
Define and apply data architecture patterns, including layered lakehouse designs, domain-oriented datasets, and semantic models aligned to business needs
Engineer physical data designs including partitioning strategies, partition key selection, clustering/micro-partitioning, and compaction for performance and cost efficiency
Develop curated datasets and data marts to enable analytics and self-service BI
Implement data quality, observability, and lineage frameworks including validations, profiling, SLAs, monitoring, and alerting
Optimize performance on cloud data platforms through compute sizing, query optimization, and workload tuning
Design and manage lakehouse table formats (e.g., Apache Iceberg or Delta) on object storage, including schema evolution and maintenance
Collaborate with data architects, analytics engineers, and business stakeholders to translate requirements into scalable technical solutions
Mentor junior engineers, participate in design reviews, and contribute to engineering standards and reusable frameworks
Automate and optimize the data lifecycle using CI/CD and infrastructure-as-code, applying DevOps best practices
Qualification
Required
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (advanced degree preferred)
7-10+ years of experience in Data Engineering or software engineering roles with a strong data focus
Expert-level SQL development and query optimization skills
Strong Python programming experience with knowledge of software engineering principles, unit testing, and version control
Hands-on experience building and orchestrating ELT/ETL pipelines using tools such as Airflow or Astronomer
Deep understanding of data engineering patterns: ingestion, transformation, dimensional modeling (SCDs), and delivery
Experience with database physical design, including partitioning strategies, effective partition key selection, clustering, and micro-partitioning
Knowledge of lakehouse table formats (Apache Iceberg, Delta, or Hudi) and columnar storage (Parquet) on object storage platforms
Experience implementing data quality, observability, and monitoring frameworks with operational SLAs
Strong problem-solving, analytical, and architectural design skills
Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical stakeholders
Preferred
experience with Snowflake workload optimization
dbt or similar transformation frameworks
event streaming (Kafka, Kinesis, Flink)
API integrations
data governance tools
Benefits
Medical
Prescription
Dental
Vision
AD&D
Life insurance offerings
Short-term disability
401K plan (all benefits are based on eligibility)
Company
Randstad Digital Americas
Randstad Digital is a trusted digital enablement partner that facilitates accelerated transformation for businesses by providing global talent, capacity, and solutions across specialized domains.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Graig Paglieri
CEO, Randstad Digital Americas
Pascal de Hesselle
SVP, Executive Client Partner - Technology, Media & Telecom
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