LINQX · 8 hours ago
Senior Data Engineer
Houston, TX
Full-time
Onsite
Senior Level
5+ years expLINQX is an industry-leading provider of end-to-end digital solutions and analytics for the oil and gas sector. The Senior Data Engineer designs, builds, and operates cloud-scale data platforms and pipelines that power AI, analytics, ML, and data products across the business.
Business Process Automation (BPA)ConsultingDigital Signage
No H1B
Hiring Manager
Anna Dabankah
Responsibilities
Lead the end-to-end design and implementation of enterprise data platforms (e.g., lakehouse, streaming, and “data hub” patterns); coordinate dependencies and integrations with product and enterprise systems
Provide technical leadership to internal and partner teams; plan scope, estimate effort, manage risks, and uphold delivery commitments
Coach engineers on data engineering standards, observability, and operational excellence; conduct design and code reviews
Define and evolve cloud data architecture (ingest, storage, compute, catalog, access) for both real-time and batch use cases; select services and patterns aligned to scalability, performance, and security requirements
Build robust data pipelines (ELT/ETL) using orchestration frameworks (e.g., Airflow, Dagster), event/stream platforms (e.g., Kafka/Kinesis/Event Hub/IoT Hub), and distributed processing (e.g., Spark/Databricks/Beam/Flink)
Implement lakehouse/lake patterns with medallion layering, CDC, and schema evolution; operationalize quality gates, testing, and lineage
Establish SLOs for data freshness, availability, and quality; implement observability (metrics, logs, lineage) and on-call runbooks
Optimize cost/performance of storage and compute; manage capacity, autoscaling, and usage governance for data solutions
Ensure privacy, security, and compliance (IAM, tokenization, row/column security, data retention); collaborate with enterprise security
Translate product and stakeholder requirements into data contracts and SLAs; document architecture and operational procedures
Evaluate emerging data technologies; create POVs and reference implementations
Anticipate future needs (multi-cloud, edge/IoT ingestion, vector/AI workloads) and create roadmaps and platform capabilities
Champion modernizing existing data architectures using current best practices: lakehouse, CDC, medallion layering, data mesh principles, and streaming
Strong software engineering in Python/SQL and one of Scala/Java; familiarity with REST/gRPC and microservices patterns
Expert with cloud data services (e.g., Azure Data Lake/Databricks/Synapse; or AWS S3/EMR/Glue/Redshift; or GCP BigQuery/Dataflow)
Hands-on with distributed stores (e.g., Delta/Iceberg/Hudi; Kafka; Redis) and both SQL/NoSQL databases (e.g., Postgres, Cosmos/ DynamoDB, MongoDB, Cassandra)
CI/CD (GitHub Actions/Azure DevOps), containerization (Docker/Kubernetes), Infrastructure as Code (Terraform)
Data governance and security (catalogs, lineage, RBAC/ABAC, encryption, key management)
Exposure to or experience implementing real time systems, with IoT/hardware design preferred, within oil and gas industry a huge plus
Excellent stakeholder communication; ability to translate business needs into scalable data solutions
Qualification
Required
Bachelor's in computer science, Engineering, or related field
5–10+ years in data engineering or platform roles delivering enterprise-grade data systems (SaaS or large-scale internal platforms)
2+ years leading or building technical design/delivery for cloud data platforms at scale
Proven delivery of streaming and batch pipelines, lakehouse implementations, and production ML data flows
Experience operating data platforms with SLAs/SLOs, cost governance, and on-call ownership
Strong software engineering in Python/SQL and one of Scala/Java
Familiarity with REST/gRPC and microservices patterns
Expert with cloud data services (e.g., Azure Data Lake/Databricks/Synapse; or AWS S3/EMR/Glue/Redshift; or GCP BigQuery/Dataflow)
Hands-on with distributed stores (e.g., Delta/Iceberg/Hudi; Kafka; Redis) and both SQL/NoSQL databases (e.g., Postgres, Cosmos/ DynamoDB, MongoDB, Cassandra)
CI/CD (GitHub Actions/Azure DevOps), containerization (Docker/Kubernetes), Infrastructure as Code (Terraform)
Data governance and security (catalogs, lineage, RBAC/ABAC, encryption, key management)
Excellent stakeholder communication; ability to translate business needs into scalable data solutions
Preferred
Master's degree in computer science, Engineering, or related field
Experience implementing real-time systems, with IoT/hardware design preferred
Experience within the oil and gas industry
Company
LINQX
Linqx provides cloud-based software solutions to optimize well construction, stimulation, and operations in the oil and gas industry.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase