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- ...Preferred qualifications: Experience with MLOps tools (e.g., MLflow, Kubeflow). Knowledge of big data technologies (Spark, Hadoop, Databricks). Background in NLP, computer vision, or other advanced AI techniques. Relevant certifications (Coursera, edX, AWS, Azure, Google...Suggested
- ...ADF), Informatica PowerCenter, and Python-based frameworks Build and optimize scalable data processing solutions using Python, Spark, and Databricks Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care) Develop...SuggestedPermanent employment
- ...years of experience building data pipelines in cloud environments ~4+ years of experience with Big Data technologies (e.g., Spark, Hadoop) and cloud architecture ~3+ years of experience with reporting and analytics tools (e.g., Tableau, Power BI) ~ Hands...SuggestedLong term contract
- ...experiences to inform, engage, and empower the world. We have a unique ability to marry content, design, product, and technology to spark connection, fulfill utility, and build community. With our consumer and facts-first strategy, we’re developing new platforms and formats...SuggestedTemporary work
- ...Cleansing, deduplication, parsing, and merging of high-volume datasets Parsing EBCDIC/COBOL-formatted VSAM files using Spark-Cobol Library Connecting to Db2 databases using JDBC drivers for ingestion For applications and inquiries, contact: hirings...SuggestedRemote work
- ...ingestion, APIs, and serverless/data processing services (e.g., Lambda, Glue). Experience working with Databricks and Apache Spark for scalable data transformation, enrichment, and analytics workflows. Proficiency in Python, Java, or Scala, and strong SQL skills...SuggestedFull timeRemote work
- ...resume and contact details. Core Technical Skills: SQL Server SQL Server Integration Services Azure Synapse Spark Microsoft Fabric Required Skills & Experience: ~ Bachelor's or Master's degree in computer science, information...SuggestedContract workWork at officeRemote work
$75 - $80 per hour
...Qualifications Knowledge of MLOps practices and ML pipelines Experience with data platforms such as Snowflake, Databricks, or Spark Familiarity with AI frameworks like TensorFlow or PyTorch Cloud certifications such as AWS Certified Solutions Architect...SuggestedFull timeContract workTemporary workWork experience placementImmediate startWorldwideFlexible hours- ...and SQL ~ Hands-on experience with AWS services (S3, Glue, Redshift, Lambda, EMR) ~ Experience with big data tools like Apache Spark, Hadoop, or Kafka ~ Knowledge of Machine Learning concepts and model lifecycle ~ Experience with ETL/ELT frameworks and data...SuggestedRemote work
- ...Experience with cloud platforms and containerization (Docker, Kubernetes). ~ Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. ~ Solid understanding of software engineering principles and DevOps practices. ~ Ability to...Suggested
- ...Must be Local to Reston, NO RELO - OnSite 3 days a week. Top 5 Technical Skills: Python (Big Data Pipeline) AWS Hadoop, Spark, Hive EMR Terraform Job Description: Strong Python development to build a big-data pipeline for data processing and analysis Need strong...SuggestedContract workWork experience placementLocal area3 days per week
- ...Proficient SQL; relational (PostgreSQL, MySQL) and NoSQL (MongoDB) experience Cloud & Big Data: AWS/Azure/Google Cloud Platform, Spark, Hadoop, scalable storage (S3, Blob, HDFS) Ready to Apply? Take the next step in your data engineering career with this exciting...SuggestedContract work
- ..., Kubeflow, Airflow) Knowledge of real-time inference and batch processing systems Familiarity with big data technologies (Spark, Kafka, Hadoop) Experience with containerization (Docker, Kubernetes) Background in applied AI domains (NLP, computer vision...SuggestedRemote work
- ...Petabyte-level data systems. Experience with cloud-native data tools and architectures (e.g., Redshift, Glue, Airflow, Apache Spark). Proficient in automated testing frameworks (PyTest, Playwright or Jest) and testing best practices. Experience developing...SuggestedLong term contractRemote work
- ...equivalent): AWS or Azure Data Platform Services, Postgres/Oracle/DB2, Collibra, Databricks, Delta Lake, Python, Snowflake, ETL tools (Spark, etc.), CI/CD pipelines supporting Data Lakehouse Expertise in real time and batch data ingestion architectures (Kafka/Event...SuggestedHourly payContract work
- ..., improving database performance, and developing quality audits. Proficient with the Azure stack, including Synapse Analytics, Spark/Python, Azure SQL, Azure Data Factory (ADF), Kusto, among others. Knowledgeable in ETL tools, particularly Azure Data Services,...Contract work
- ...~7+ years of experience in Software Engineering ~4+ years building big data pipelines ~4+ years of experience with: Apache Spark (PySpark / Spark SQL) Hive and Iceberg tables SQL / SQL Server or other RDBMS ~ Strong programming experience in: Python PySpark...Contract workRemote work
- ...transformation, and data reliability Real-time systems Build streaming solutions using Kafka or Azure Event Hubs Use Spark Structured Streaming for high-volume data processing API and integration Lead integrations using Spring Boot, Dell Boomi,...
- ...platform engineer to design and build a containerized API layer that abstracts and governs interactions with engines such as Apache Spark through a well-defined API contract. This role focuses on building platform capabilities, not simply consuming existing data tools enabling...Contract work
- ...Google Cloud Platform) ~ Familiarity with REST APIs and microservices architecture ~ Experience with data processing tools (Spark, Pandas, etc.) Preferred Qualifications Experience working in data security / cybersecurity domain Knowledge of MLOps...Contract work
- ...and SQL ~ Hands-on experience with AWS services (S3, Glue, Redshift, Lambda, EMR) ~ Experience with big data tools like Apache Spark, Hadoop, or Kafka ~ Knowledge of Machine Learning concepts and model lifecycle ~ Experience with ETL/ELT frameworks and data...Remote work
- ...Mobile etc) Preferred qualifications Experience with streaming API s like Kafka Understanding of Big Data/Data Lake technologies (Spark, Hadoop, Databricks etc) Understanding of Design patterns and clean coding Understanding of technical aspects of Analytic...Local area
- ...develop scalable data transformation pipelines using DBT Cloud Architect and implement Databricks-based data solutions (Delta Lake, Spark) Build and optimize data models (star/snowflake schemas) for analytics Develop ETL/ELT pipelines using modern data stack...
- ...related discipline Minimum of 5+ years of relevant industry experience Minimum 5 years of experience developing in Hadoop echo system ( Spark, PySpark, MapReduce, Hive, Impala ) Minimum 5 years of experience with common application frameworks (JEE Spring Boot, Struts,...Remote work
- ...The primary skill sets that we work on are: Apache Flink / Apache Spark Google Cloud Platform (Bigquery, Dataproc) Airflow Java Optional nice to have skills: Microservices (Spring boot) NoSQL (Cassandra) Elastic search For applications and inquiries, contact: hirings...
- ...experiences to inform, engage, and empower the world. We have a unique ability to marry content, design, product, and technology to spark connection, fulfill utility, and build community. With our consumer and facts-first strategy, we’re developing new platforms and formats...
- ...generation, and intelligent automation. - Work with large structured and unstructured datasets using tools like Pandas, NumPy, and Spark. - Implement models in production environments using Python, TensorFlow, PyTorch, or scikit-learn. - Conduct exploratory...
- ...Responsibilities : Expertise in big data processing, Core Java and Apache spark particularly within finance domain. Should have a strong experience working with financial instruments, market risk and large-scale distributed computing systems. Develop...
- ...of experience in design, implement and maintain Python, Microservice, Spring Boot, Spring Cloud, RESTful services, Kafka, Swagger, Spark, MongoDB, Flink, Ab Initio, Docker, Kubernetes technologies Strategize, Design data architecture for specific business problems...Permanent employmentFull timeFlexible hours
- ...scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2. Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search. Expert knowledge in conducting data analysis...Contract workWork experience placement