Senior Software Engineer, Data Ingestion

Salesforce

. Join Slack’s Data Ingestion Team within the Data Engineering organization .

Posted 11/11/2026full-timeUnited StatesSenior💰 $172,500 - $260,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data ingestion pipelines and Lakehouse solutions, with proficiency in streaming technologies and batch processing. Capable of leading technical initiatives, mentoring engineers, and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

7+ Years Of Software/Data Engineering ExperienceStreaming And Lakehouse Technologies (Kafka, Flink, Iceberg)Batch Data Pipelines (Spark, Airflow, EMR)Object-Oriented And Functional Programming (SQL, Python, Java, Go)Distributed Microservices (Kubernetes, Docker, AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentLakehouse SolutionsStreaming TechnologiesBatch ProcessingSchema EvolutionMetadata ManagementChange ManagementProgramming Languages (SQL, Python, Java, Go)Microservices ArchitectureAI-Assisted Development

Soft Skills

Excellent Communication SkillsInterpersonal SkillsCollaborationMentoringTechnical Leadership

Tools & Technologies

KafkaFlinkSparkAirflowAWS S3KubernetesDockerTerraformGrafanaClaude Code/Codex

Industry Keywords

Data EngineeringStreaming DataLakehouse ArchitectureData IngestionMicroservices

Tech Stack

Tools & technologies

AirflowAWSDockerGrafanaJavaKafkaKubernetesMicroservicesPythonScalaSparkSQLTerraformGo

About the role

Key responsibilities & impact

Join Slack’s Data Ingestion Team within the Data Engineering organization
Design and develop scalable, resilient streaming and batch pipelines for structured and unstructured datasets
Design and implement Slack’s Lakehouse solutions and enable production use cases
Improve service and pipeline reliability and performance through AI-assisted and/or Agentic solutions and tools
Automate and manage dataset lifecycles, including schema evolution, metadata management, change and backfill management, deprecation, and migration
Serve as a tech lead, collaborating with cross-functional partners and independently leading technical initiatives end to end
Coach and mentor engineers across the team and organization
Write, review, and provide feedback on technical design proposals
Build and operate an ingestion platform handling 180PB+ of storage, approximately 1T records per day, 400+ data pipelines, and 1500+ active Airflow DAGs

Requirements

What you’ll need

U.S. citizenship; must be U.S. born or naturalized
Must not hold dual citizenship
Willingness to undergo a U.S. federal government Minimum Background Investigation (MBI) for a Moderate Public Trust position
Must pass a background check for GovSlack authorization
Salesforce cannot provide visa sponsorship for this role
7+ years of software/data engineering experience
Experience building applications using Streaming and Lakehouse technologies, such as Kafka/Kafka Connect, Flink/Spark Streaming, Iceberg/Hudi/Delta or equivalent
Hands-on experience building and maintaining batch data pipelines using Spark, Airflow, EMR, S3 or equivalent
Proficiency in object-oriented and/or functional programming languages: SQL, Python, Java/Scala, Go or equivalent
Skill in building robust distributed microservices using tools such as Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, etc.
Familiarity with AI-assisted software development and automation is an advantage
Hands-on experience with Claude Code/Codex or equivalent is an advantage
Excellent written and verbal communication and interpersonal skills
Ability to collaborate with cross-functional partners and explain sophisticated technical concepts to non-technical stakeholders
High growth expectations and willingness to push yourself and your team to achieve them

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation, where applicable
Equity, where applicable
Reasonable accommodation during the application or recruiting process