Data Engineer

KIS Solutions

Mid-Level Data Engineer building scalable data pipelines for KIS, a global technology consultancy. Developing SQL, Python, GCP, and BigQuery solutions for international clients.

Posted 8/21/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining end-to-end data pipelines, with a strong focus on SQL and Python for data transformations. Proficient in implementing data models and ensuring data quality while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL Query OptimizationPython for Data TransformationsGCP and BigQuery ExperienceData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignETL/ELT WorkflowsSQLPythonData ModelingBatch and Streaming WorkflowsSchema ValidationRoot Cause AnalysisData GovernancePerformance Trade-offs

Soft Skills

CommunicationCollaborationProblem-SolvingOrganizational SkillsTime Management

Tools & Technologies

GCPBigQueryOrchestration ToolsData Platforms

Industry Keywords

Data EngineeringData Quality ProcessesData SecurityAccess ControlPII Handling

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain end-to-end data pipelines, including batch and/or streaming workflows, from ingestion through transformation and delivery
Develop and operate reliable, scalable, and high-performing ETL/ELT workflows
Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases
Implement and maintain data models, including star schemas and incremental models, optimized for analytics and reporting
Develop reusable, modular, and maintainable Python code for data transformations and pipeline logic
Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration tools, data sources, and cloud services
Ensure data quality through automated schema validation, freshness checks, and row-level assertions
Collaborate with analysts, backend engineers, and stakeholders to define data contracts and ensure reliable data availability
Participate in planning, estimation, and prioritization of data engineering tasks
Identify risks related to performance, scalability, and data integrity and propose mitigation strategies
Contribute to continuous improvement of data platforms, engineering processes, and team best practices
Write and maintain technical documentation for data pipelines, schemas, and data lineage
Communicate clearly with team members and clients, raising questions and concerns when requirements or priorities are unclear

Requirements

What you’ll need

Professional experience as a Data Engineer working with production-grade data pipelines
Strong experience with SQL, including query optimization, indexing, partitioning, and understanding performance trade-offs
Professional experience writing Python for data transformations, following good software design and modularization practices
Experience designing and implementing data models for analytics and reporting use cases
Experience building and operating data pipelines using cloud-based data platforms
Hands-on experience with GCP and BigQuery
Experience operating data pipelines, including error handling, monitoring, troubleshooting, and data quality processes
Knowledge of fundamental data security and governance practices, including access control, data masking, and PII handling
Ability to deliver less complex tasks independently and handle more complex challenges with appropriate guidance
Strong sense of ownership, responsibility, and accountability for data workflows and deliverables
Good organizational and time management skills, with the ability to estimate effort and meet delivery deadlines
Advanced English level for effective collaboration with global clients and distributed teams
Team-oriented mindset with strong communication, collaboration, and problem-solving skills

Benefits

Comp & perks

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