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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Modern Technology Solutions, Inc. (MTSI) is searching for Data Engineer t o support United States Space Force (USSF) by developing software in support of Space Systems Command (SSC) Cyber Operations Branch rapid agile development of defensive cyber solutions to protect, defend, and respond to both ground and space based cyber adversarial threats.
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Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms. About the role: Gen3 is currently seeking a talented Data Scientist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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Evolve our data collection capabilities, analytics and reporting process as the business evolves and grows by optimizing strategies, implement databases, and managing security, data sources and metadata.
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Our data engineering tech stack is primarily AWS running Spark/Scala within Databricks. The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
$130,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Peraton is currently seeking an experienced Cybersecurity Data Engineer to become part of Peraton's Department of State (DoS) Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative, effective and secure business processes.
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Familiarity with data visualization tools (e.g., Tableau, Power BI). Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R). JOB DESCRIPTION: Business Data Analyst Location: Hybrid - Rosemont, ILOverview: Supports and contributes to business analytics projects and processes to provide data-driven insights related to business performance used to advise and develop strategies for operational improvements and future business initiatives.
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Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and the entire AWS suite of technologies.
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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. Create and implement digital data strategy plans aligned with project goals.
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We are seeking a Principal Scientist to propel our data science, helping to build world-class platform capabilities in analytics and machine learning supporting biological discovery and drug development programs.
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Minimum 8 years of experience designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services alongside 3rd party tools (Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/Composer, BigTable, Cloud BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Functions, & Github.
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Familiarity with big data platforms, such as Azure Databricks, Azure HDInsight, or Azure Stream Analytics. Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
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