Position Details

Salary $77K – $176K USD / year

Type Not Specified

Experience mid

Exp. Years 3+ years

Education Bachelor's degree in Computer Science, Mathematics, Software Engineering, or Data Science

Category Data & Analytics

About this role

This role involves designing and building scalable data pipelines and platforms to support analytics, leveraging cloud services and big data tools, primarily for government or public sector clients.

Key Responsibilities

Build data pipelines
Develop scalable data platforms
Implement data warehousing solutions
Collaborate with cross-functional teams
Ensure data security and compliance

Technical Overview

The technical environment includes SQL, Python, Java, Hadoop, Spark, Kafka, NoSQL databases, and cloud platforms like AWS, Azure, and Google Cloud, with a focus on data integration, warehousing, and processing.

Ideal Candidate

The ideal candidate is a mid-level data engineer with over 3 years of experience in building scalable data pipelines, data warehousing, and working with cloud platforms like AWS or Azure. They are proficient in SQL, Python or Java, and have experience with big data tools such as Spark and Hadoop.

Must-Have Skills

3+ years of data engineering or analytics engineeringExperience with SQLExperience with Python or JavaExperience with data pipelines and data warehousingSecret clearance

Nice-to-Have Skills

AWSAmazon Web ServicesAzureGoogle CloudSparkDatabricksHadoopHiveKafkaNLPMongoDBCassandraRedshiftMySQLSnowflakeUnixLinuxShell scriptingAgile

Tools & Platforms

AWSAmazon Web ServicesAzureGoogle CloudHadoopSparkDatabricksKafkaMongoDBCassandraRedshiftMySQLSnowflakeUnixLinuxShell scripting

Required Skills

SQLPythonJavaETLData PipelinesData WarehousingBig DataHadoopSparkKafkaNLPNoSQLMongoDBCassandraAWSAzureGoogle CloudRedshiftMySQLSnowflakeUnixLinuxShell scriptingAgile

Hard Skills

SQLStructured Query LanguagePythonJavaTypeScriptC++ETLELTData PipelinesData WarehousingBig DataHadoopSparkDatabricksKafkaNatural Language ProcessingNLPNoSQLMongoDBCassandraAWSAmazon Web ServicesAzureGoogle CloudRedshiftMySQLSnowflakeUnixLinuxShell scriptingAgile

Soft Skills

CollaborationTeamworkCommunicationProblem-solvingAnalytical thinkingAdaptability

Certifications

Preferred

AWS Solutions ArchitectMicrosoft Certified Azure DeveloperGoogle Cloud Professional Data Engineer

Industry & Role

Industry Government/Public Sector

Job Function Data pipeline development and data platform management

Clearance & Visa

Clearance Required Secret

Keywords for Your Resume

Data EngineerSQLPythonJavaETLELTData PipelinesData WarehousingBig DataHadoopSparkDatabricksKafkaNLPNatural Language ProcessingMongoDBCassandraAWSAmazon Web ServicesAzureGoogle CloudRedshiftMySQLSnowflakeUnixLinuxShell scriptingAgileData Engineering

Deal Breakers

Lack of 3+ years experience in data engineering, No experience with SQL or programming languages like Python or Java, No experience with data pipelines or data warehousing, No active security clearance

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