Senior Data Engineer

Overview Only candidates currently residing in Houston, TX will be considered for this opportunity Our upstream Oil and Gas client is looking to add a Senior Data Engineer to their team! This long term opportunity is located in Downton Houston. This role is ideal for someone who thrives on solving complex data challenges, optimizing real-time systems, and building reliable infrastructure for mission-critical analytics. You’ll play a key role in shaping our time-series data strategy, supporting use cases across monitoring, industrial systems, and real-time decision-making. Core Responsibilities Time-Series Database Expertise Design, implement, and optimize solutions using leading time-series databases such as VictoriaMetrics, InfluxDB, TimescaleDB, Prometheus, or OpenTSDB Develop scalable data models including retention policies, downsampling, aggregation, and compression strategies Build efficient and reliable pipelines for high-ingestion-rate time-series data Query Optimization & Data Access Write and optimize complex time-windowed queries (e.g., sliding windows, gap filling, rate calculations) Work with SQL and TSDB-specific query languages such as PromQL, MetricQL, Flux, and TSQL Design schemas for high-cardinality datasets Build and maintain real-time ingestion pipelines using Kafka, Flink, or Spark Streaming Develop and manage ETL/ELT workflows Required Qualifications 5 years experience with at least one major time-series database Advanced SQL skills and experience with time-series query languages Proven ability to design scalable, high-throughput data systems Experience with stream processing frameworks (Kafka, Flink, or Spark) Hands-on experience with cloud platforms (AWS, GCP, or Azure) Proficiency in Python, Go, or Java Strong understanding of observability, monitoring, and system reliability #J-18808-Ljbffr Emergent Professional Resources L.P. (EPR)