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- ...training, serving, and observability, and be the final escalation point for the most elusive infrastructure problems (GPU capacity, Spark tuning, production incidents) Own and evolve our paved-road framework (the shared CI/CD spine, model-workflow scaffolding, and Databricks...SuggestedRemote work
- ...Responsibilities Databricks Engineering: Build scalable, secure data solutions on the Databricks Lakehouse Platform using Apache Spark, Delta Lake, and cloud-native services. Implement batch, streaming, ETL, ELT, analytics, and ML-enabled data pipelines. Apply medallion...SuggestedWork experience placementLocal areaRemote work
- ...and maintain scalable data solutions. Strong experience with Microsoft Azure data services Hands-on expertise in Databricks, Apache Spark, and data engineering workflows Proficiency in Alteryx for data preparation and analytics Strong knowledge of SQL, ETL/ELT processes...SuggestedFull timeWorldwide
- ...mesh patterns. Strong command of data modeling (3NF, Star/Snowflake, Data Vault 2.0). Advanced proficiency in SQL, Python/PySpark, and Spark performance tuning. Deep knowledge of Azure security & networking (Managed Identity, Private Link, VNet integration, Azure Firewall)...SuggestedContract workWork experience placement
- ...data solutions. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Databricks. Leverage PySpark/Spark and SQL to transform and process large datasets. Integrate data from multiple sources including Azure Blob Storage, ADLS and...Suggested
$125k - $226.25k
...implementing enterprise-scale data platforms. Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, Spark, Structured Streaming, and Lakehouse architecture. Strong hands-on experience with Snowflake, including data modelling, performance...SuggestedTemporary workFlexible hours- ...architecture using GKE with Cloud SQL and Pub/Sub. Big Data Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. Example: Building ETL pipelines that process terabytes of daily event data and transform it for downstream...Suggested
- ...cost optimization. Establish scalable data-lakehouse patterns for SAP and non-SAP data using Delta Lake, medallion architecture, Spark, Python, SQL, streaming, and batch pipelines. Administer and support Informatica platforms, such as PowerCenter, IDMC/IICS,...Suggested
$90 - $105 per hour
...implement, test, deploy, and maintain scalable ETL/ELT pipelines and governed raw, clean, and curated data layers using Python, PySpark, Spark SQL, Foundry Code Repositories, Pipeline Builder, Databricks, and Delta Lake. Design and implement Foundry Ontologies...SuggestedHourly payWork at office$70 - $73 per hour
...enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data. Strong experience with: Databricks Apache Spark Apache Kafka AMPS, MQ, Hadoop, or experience with other enterprise messaging systems AWS cloud services Large-scale data warehouse...SuggestedHourly payFull timeContract workTemporary workWork experience placementImmediate startRemote workWorldwideFlexible hours- ...capital, and regulatory reporting. Ensure models are fit for the consumers who rely on them. Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs. Data Observability: Integrate...SuggestedWork at office
- ...billing systems, revenue reconciliation, deferred revenue, and financial reporting. Databricks certifications (Data Engineer, Spark Developer, or equivalent). Experience with MLflow, AutoML, or basic ML-enabled analytics use cases. Experience with Power...SuggestedLong term contract
- ...looking for a highly experienced Senior Data Engineer with 10+ years of experience and strong hands-on expertise in Databricks, Apache Spark, PySpark, Python, SQL, AWS, and Delta Lake . The ideal candidate should have extensive experience designing and developing scalable...Suggested
$65.05 per hour
...experience designing, implementing, and maintaining distributed systems. ~ Deep expertise with Cloudera Hadoop ecosystem: HDFS, YARN, Spark, Impala, Ranger. ~ Knowledge of Apache Iceberg and object storage such as S3 or Ozone. ~ Strong Python development for...SuggestedContract work- ...maintaining Infrastructure-as-Code solutions using Terraform and CI/CD pipelines. ~ Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse architecture concepts. ~ Experience developing automation solutions and reusable engineering components. ~...Suggested
- ...experience designing and developing enterprise-scale data engineering solutions Hands on experience with Databricks and Apache Spark for large-scale data processing Strong experience with MS Azure data platforms and services Hands on experience designing...Contract work
- ...experienced D365 Sr Finance Consultant to join one of our enterprise client engagements. The ideal candidate should have strong expertise in Spark, Kafka, AWS, Azure, or Google Cloud Platform along with experience working in fast-paced enterprise environments. MUST...
- ...experience in design, implement and maintain Java ,Python, Microservice, Spring Boot, Spring Cloud, RESTful services, Kafka, Swagger, Spark, MongoDB, Flink, Ab Initio, Docker, Opeshift, Kubernetes technologies Strategize, Design data architecture for specific business...Flexible hours
- .... Strong enterprise experience with Databricks . Expert knowledge of: Databricks Lakehouse Delta Lake Apache Spark PySpark Spark SQL SQL Medallion Architecture Unity Catalog Strong experience designing ETL/ELT pipelines...
- ...Job Title: Data Engineer Databricks / Scala / Spark / Kafka Work Location: Richardson, TX | Indianapolis, IN | Tampa, FL | Hartford, CT | Phoenix, AZ | St. Louis, MO (Hybrid) Long Term Contract If you find this opportunity suitable, kindly share your updated resume. Also...Long term contract
$56 - $61 per hour
...building enterprise-grade data pipelines, processing high-volume datasets, and delivering scalable analytics solutions using PySpark, Spark SQL, and AWS cloud technologies. Responsibilities: The candidate will design, develop, and maintain scalable data...Contract workTemporary workLocal areaRemote work$150k - $240k
..., and regulatory reporting. Ensure models are fit for the consumers who rely on them. Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs. Data Observability: Integrate quality...Work at officeLocal areaRemote workWorldwide- ...infrastructure Key Responsibilities: Administer and optimize Microsoft Fabric environments Lakehouse Warehouse Data Factory Spark Notebooks Semantic Models Ensure platform reliability through monitoring incident management RCA and performance tuning...
- ...development. Strong experience designing and implementing enterprise-scale data pipelines. Hands-on expertise with: Python PySpark Spark SQL SQL Kafka Databricks Delta Lake Snowflake Hive Experience building data solutions on AWS cloud platforms. Strong...
- ...deployment and adoption. Design and develop Databricks Apps and production-grade data/AI solutions using Python or Scala, SQL, Apache Spark, Delta Lake, and Databricks platform services. Build reference architectures and scalable solutions across batch/streaming data...
- ...Experience optimizing cost and performance in cloud data warehouses. Hands-on experience with Cribl, Apache Kafka, Kafka Connect, Spark Streaming, or Apache Flink Required Years of Experience: MUST have 5 to 7+ years of Data Engineering experience....Contract workWork experience placementWork at officeRemote work
$138k - $200.1k
...Experience with cloud platforms and data services, including AWS, Azure, or Google Cloud Platform, and big data frameworks such as EMR or Spark. ~ Strong understanding of modern data architectures, including data lakes, data warehouses, lakehouses, and streaming platforms...- ...migration of legacy data warehouses and ETL workloads to Databricks. Architect batch and real-time data processing solutions using Spark. Optimize performance, scalability, reliability, and cost efficiency. Collaborate with business stakeholders, data...Work experience placementRemote work
- ...sources. Implement data transformations, cleansing, enrichment, and validation processes. Create scalable solutions using PySpark, Spark SQL, and Delta Lake. Collaborate with business stakeholders, data architects, analysts, and application teams to define data requirements...Hourly payLocal areaRemote work
- ...BigQuery, Cloud Storage, Dataflow, and Dataproc. Implement data lakehouse solutions using Databricks and Delta Lake. Optimize Spark jobs and data pipelines for performance and cost efficiency. Implement data quality checks, validation, and error-handling...